Paraformer models
Hint
Please refer to Installation to install sherpa-onnx before you read this section.
csukuangfj/sherpa-onnx-paraformer-trilingual-zh-cantonese-en (Chinese + English + Cantonese 粤语)
Note
This model does not support timestamps. It is a trilingual model, supporting
both Chinese and English. (支持普通话、粤语、河南话、天津话、四川话等方言)
This model is converted from
In the following, we describe how to download it and use it with sherpa-onnx.
Download the model
Please use the following commands to download it.
cd /path/to/sherpa-onnx
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-trilingual-zh-cantonese-en.tar.bz2
# For Chinese users
# wget https://hub.nuaa.cf/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-trilingual-zh-cantonese-en.tar.bz2
tar xvf sherpa-onnx-paraformer-trilingual-zh-cantonese-en.tar.bz2
Please check that the file sizes of the pre-trained models are correct. See
the file sizes of *.onnx files below.
sherpa-onnx-paraformer-trilingual-zh-cantonese-en$ ls -lh *.onnx
-rw-r--r-- 1 1001 127 234M Mar 10 02:12 model.int8.onnx
-rw-r--r-- 1 1001 127 831M Mar 10 02:12 model.onnx
Decode wave files
Hint
It supports decoding only wave files of a single channel with 16-bit encoded samples, while the sampling rate does not need to be 16 kHz.
fp32
The following code shows how to use fp32 models to decode wave files:
cd /path/to/sherpa-onnx
./build/bin/sherpa-onnx-offline \
--tokens=./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/tokens.txt \
--paraformer=./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/model.onnx \
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/1.wav \
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/2.wav \
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/3-sichuan.wav \
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/4-tianjin.wav \
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/5-henan.wav \
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/6-zh-en.wav
Note
Please use ./build/bin/Release/sherpa-onnx-offline.exe for Windows.
Caution
If you use Windows and get encoding issues, please run:
CHCP 65001
in your commandline.
You should see the following output:
/project/sherpa-onnx/csrc/parse-options.cc:Read:361 sherpa-onnx-offline --tokens=./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/tokens.txt --paraformer=./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/model.onnx ./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/1.wav ./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/2.wav ./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/3-sichuan.wav ./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/4-tianjin.wav ./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/5-henan.wav ./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/6-zh-en.wav
OfflineRecognizerConfig(feat_config=OfflineFeatureExtractorConfig(sampling_rate=16000, feature_dim=80), model_config=OfflineModelConfig(transducer=OfflineTransducerModelConfig(encoder_filename="", decoder_filename="", joiner_filename=""), paraformer=OfflineParaformerModelConfig(model="./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/model.onnx"), nemo_ctc=OfflineNemoEncDecCtcModelConfig(model=""), whisper=OfflineWhisperModelConfig(encoder="", decoder="", language="", task="transcribe", tail_paddings=-1), tdnn=OfflineTdnnModelConfig(model=""), zipformer_ctc=OfflineZipformerCtcModelConfig(model=""), wenet_ctc=OfflineWenetCtcModelConfig(model=""), tokens="./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/tokens.txt", num_threads=2, debug=False, provider="cpu", model_type=""), lm_config=OfflineLMConfig(model="", scale=0.5), ctc_fst_decoder_config=OfflineCtcFstDecoderConfig(graph="", max_active=3000), decoding_method="greedy_search", max_active_paths=4, hotwords_file="", hotwords_score=1.5, blank_penalty=0)
Creating recognizer ...
Started
/project/sherpa-onnx/csrc/offline-paraformer-greedy-search-decoder.cc:Decode:65 time stamp for batch: 0, 13 vs -1
/project/sherpa-onnx/csrc/offline-paraformer-greedy-search-decoder.cc:Decode:65 time stamp for batch: 1, 15 vs -1
/project/sherpa-onnx/csrc/offline-paraformer-greedy-search-decoder.cc:Decode:65 time stamp for batch: 2, 40 vs -1
/project/sherpa-onnx/csrc/offline-paraformer-greedy-search-decoder.cc:Decode:65 time stamp for batch: 3, 41 vs -1
/project/sherpa-onnx/csrc/offline-paraformer-greedy-search-decoder.cc:Decode:65 time stamp for batch: 4, 37 vs -1
/project/sherpa-onnx/csrc/offline-paraformer-greedy-search-decoder.cc:Decode:65 time stamp for batch: 5, 16 vs -1
Done!
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/1.wav
{"text": "有无人知道湾仔活道系点去㗎", "timestamps": [], "tokens":["有", "无", "人", "知", "道", "湾", "仔", "活", "道", "系", "点", "去", "㗎"]}
----
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/2.wav
{"text": "我喺黄大仙九龙塘联合道荡失路啊", "timestamps": [], "tokens":["我", "喺", "黄", "大", "仙", "九", "龙", "塘", "联", "合", "道", "荡", "失", "路", "啊"]}
----
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/3-sichuan.wav
{"text": "自己就是在那个在那个就是在情节里面就是感觉是演得特别好就是好像很真实一样你知道吧", "timestamps": [], "tokens":["自", "己", "就", "是", "在", "那", "个", "在", "那", "个", "就", "是", "在", "情", "节", "里", "面", "就", "是", "感", "觉", "是", "演", "得", "特", "别", "好", "就", "是", "好", "像", "很", "真", "实", "一", "样", "你", "知", "道", "吧"]}
----
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/4-tianjin.wav
{"text": "其实他就是怕每个人都可以守法就这意思法律意识太单薄了而且就是嗯也不顾及到别人的感受", "timestamps": [], "tokens":["其", "实", "他", "就", "是", "怕", "每", "个", "人", "都", "可", "以", "守", "法", "就", "这", "意", "思", "法", "律", "意", "识", "太", "单", "薄", "了", "而", "且", "就", "是", "嗯", "也", "不", "顾", "及", "到", "别", "人", "的", "感", "受"]}
----
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/5-henan.wav
{"text": "它这个管一下都通到有时候都通到七八层楼高然后它这管一下就可以浇到那那柱子上", "timestamps": [], "tokens":["它", "这", "个", "管", "一", "下", "都", "通", "到", "有", "时", "候", "都", "通", "到", "七", "八", "层", "楼", "高", "然", "后", "它", "这", "管", "一", "下", "就", "可", "以", "浇", "到", "那", "那", "柱", "子", "上"]}
----
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/6-zh-en.wav
{"text": " yesterday was 星期一 today is tuesday 明天是星期三", "timestamps": [], "tokens":["yesterday", "was", "星", "期", "一", "today", "is", "tu@@", "es@@", "day", "明", "天", "是", "星", "期", "三"]}
----
num threads: 2
decoding method: greedy_search
Elapsed seconds: 6.871 s
Real time factor (RTF): 6.871 / 42.054 = 0.163
int8
The following code shows how to use int8 models to decode wave files:
cd /path/to/sherpa-onnx
./build/bin/sherpa-onnx-offline \
--tokens=./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/tokens.txt \
--paraformer=./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/model.int8.onnx \
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/1.wav \
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/2.wav \
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/3-sichuan.wav \
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/4-tianjin.wav \
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/5-henan.wav \
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/6-zh-en.wav
Note
Please use ./build/bin/Release/sherpa-onnx-offline.exe for Windows.
Caution
If you use Windows and get encoding issues, please run:
CHCP 65001
in your commandline.
You should see the following output:
/project/sherpa-onnx/csrc/parse-options.cc:Read:361 sherpa-onnx-offline --tokens=./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/tokens.txt --paraformer=./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/model.int8.onnx ./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/1.wav ./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/2.wav ./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/3-sichuan.wav ./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/4-tianjin.wav ./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/5-henan.wav ./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/6-zh-en.wav
OfflineRecognizerConfig(feat_config=OfflineFeatureExtractorConfig(sampling_rate=16000, feature_dim=80), model_config=OfflineModelConfig(transducer=OfflineTransducerModelConfig(encoder_filename="", decoder_filename="", joiner_filename=""), paraformer=OfflineParaformerModelConfig(model="./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/model.int8.onnx"), nemo_ctc=OfflineNemoEncDecCtcModelConfig(model=""), whisper=OfflineWhisperModelConfig(encoder="", decoder="", language="", task="transcribe", tail_paddings=-1), tdnn=OfflineTdnnModelConfig(model=""), zipformer_ctc=OfflineZipformerCtcModelConfig(model=""), wenet_ctc=OfflineWenetCtcModelConfig(model=""), tokens="./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/tokens.txt", num_threads=2, debug=False, provider="cpu", model_type=""), lm_config=OfflineLMConfig(model="", scale=0.5), ctc_fst_decoder_config=OfflineCtcFstDecoderConfig(graph="", max_active=3000), decoding_method="greedy_search", max_active_paths=4, hotwords_file="", hotwords_score=1.5, blank_penalty=0)
Creating recognizer ...
Started
/project/sherpa-onnx/csrc/offline-paraformer-greedy-search-decoder.cc:Decode:65 time stamp for batch: 0, 13 vs -1
/project/sherpa-onnx/csrc/offline-paraformer-greedy-search-decoder.cc:Decode:65 time stamp for batch: 1, 15 vs -1
/project/sherpa-onnx/csrc/offline-paraformer-greedy-search-decoder.cc:Decode:65 time stamp for batch: 2, 40 vs -1
/project/sherpa-onnx/csrc/offline-paraformer-greedy-search-decoder.cc:Decode:65 time stamp for batch: 3, 41 vs -1
/project/sherpa-onnx/csrc/offline-paraformer-greedy-search-decoder.cc:Decode:65 time stamp for batch: 4, 37 vs -1
/project/sherpa-onnx/csrc/offline-paraformer-greedy-search-decoder.cc:Decode:65 time stamp for batch: 5, 16 vs -1
Done!
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/1.wav
{"text": "有无人知道湾仔活道系点去㗎", "timestamps": [], "tokens":["有", "无", "人", "知", "道", "湾", "仔", "活", "道", "系", "点", "去", "㗎"]}
----
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/2.wav
{"text": "我喺黄大仙九龙塘联合道荡失路啊", "timestamps": [], "tokens":["我", "喺", "黄", "大", "仙", "九", "龙", "塘", "联", "合", "道", "荡", "失", "路", "啊"]}
----
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/3-sichuan.wav
{"text": "自己就是在那个在那个就是在情节里面就是感觉是演得特别好就是好像很真实一样你知道吧", "timestamps": [], "tokens":["自", "己", "就", "是", "在", "那", "个", "在", "那", "个", "就", "是", "在", "情", "节", "里", "面", "就", "是", "感", "觉", "是", "演", "得", "特", "别", "好", "就", "是", "好", "像", "很", "真", "实", "一", "样", "你", "知", "道", "吧"]}
----
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/4-tianjin.wav
{"text": "其实他就是怕每个人都可以守法就这意思法律意识太单薄了而且就是嗯也不顾及到别人的感受", "timestamps": [], "tokens":["其", "实", "他", "就", "是", "怕", "每", "个", "人", "都", "可", "以", "守", "法", "就", "这", "意", "思", "法", "律", "意", "识", "太", "单", "薄", "了", "而", "且", "就", "是", "嗯", "也", "不", "顾", "及", "到", "别", "人", "的", "感", "受"]}
----
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/5-henan.wav
{"text": "它这个管一下都通到有时候都通到七八层楼高然后它这管一下就可以浇到那那柱子上", "timestamps": [], "tokens":["它", "这", "个", "管", "一", "下", "都", "通", "到", "有", "时", "候", "都", "通", "到", "七", "八", "层", "楼", "高", "然", "后", "它", "这", "管", "一", "下", "就", "可", "以", "浇", "到", "那", "那", "柱", "子", "上"]}
----
./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/test_wavs/6-zh-en.wav
{"text": " yesterday was 星期一 today is tuesday 明天是星期三", "timestamps": [], "tokens":["yesterday", "was", "星", "期", "一", "today", "is", "tu@@", "es@@", "day", "明", "天", "是", "星", "期", "三"]}
----
num threads: 2
decoding method: greedy_search
Elapsed seconds: 6.290 s
Real time factor (RTF): 6.290 / 42.054 = 0.150
Speech recognition from a microphone
cd /path/to/sherpa-onnx
./build/bin/sherpa-onnx-microphone-offline \
--tokens=./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/tokens.txt \
--paraformer=./sherpa-onnx-paraformer-trilingual-zh-cantonese-en/model.int8.onnx
csukuangfj/sherpa-onnx-paraformer-en-2024-03-09 (English)
Note
This model does not support timestamps. It supports only English.
This model is converted from
https://www.modelscope.cn/models/iic/speech_paraformer_asr-en-16k-vocab4199-pytorch/summary
In the following, we describe how to download it and use it with sherpa-onnx.
Download the model
Please use the following commands to download it.
cd /path/to/sherpa-onnx
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-en-2024-03-09.tar.bz2
# For Chinese users
# wget https://hub.nuaa.cf/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-en-2024-03-09.tar.bz2
tar xvf sherpa-onnx-paraformer-en-2024-03-09.tar.bz2
Please check that the file sizes of the pre-trained models are correct. See
the file sizes of *.onnx files below.
sherpa-onnx-paraformer-en-2024-03-09$ ls -lh *.onnx
-rw-r--r-- 1 1001 127 220M Mar 10 02:12 model.int8.onnx
-rw-r--r-- 1 1001 127 817M Mar 10 02:12 model.onnx
Decode wave files
Hint
It supports decoding only wave files of a single channel with 16-bit encoded samples, while the sampling rate does not need to be 16 kHz.
fp32
The following code shows how to use fp32 models to decode wave files:
cd /path/to/sherpa-onnx
./build/bin/sherpa-onnx-offline \
--tokens=./sherpa-onnx-paraformer-en-2024-03-09/tokens.txt \
--paraformer=./sherpa-onnx-paraformer-en-2024-03-09/model.onnx \
./sherpa-onnx-paraformer-en-2024-03-09/test_wavs/0.wav \
./sherpa-onnx-paraformer-en-2024-03-09/test_wavs/1.wav \
./sherpa-onnx-paraformer-en-2024-03-09/test_wavs/8k.wav
Note
Please use ./build/bin/Release/sherpa-onnx-offline.exe for Windows.
You should see the following output:
/project/sherpa-onnx/csrc/parse-options.cc:Read:361 sherpa-onnx-offline --tokens=./sherpa-onnx-paraformer-en-2024-03-09/tokens.txt --paraformer=./sherpa-onnx-paraformer-en-2024-03-09/model.onnx ./sherpa-onnx-paraformer-en-2024-03-09/test_wavs/0.wav ./sherpa-onnx-paraformer-en-2024-03-09/test_wavs/1.wav ./sherpa-onnx-paraformer-en-2024-03-09/test_wavs/8k.wav
OfflineRecognizerConfig(feat_config=OfflineFeatureExtractorConfig(sampling_rate=16000, feature_dim=80), model_config=OfflineModelConfig(transducer=OfflineTransducerModelConfig(encoder_filename="", decoder_filename="", joiner_filename=""), paraformer=OfflineParaformerModelConfig(model="./sherpa-onnx-paraformer-en-2024-03-09/model.onnx"), nemo_ctc=OfflineNemoEncDecCtcModelConfig(model=""), whisper=OfflineWhisperModelConfig(encoder="", decoder="", language="", task="transcribe", tail_paddings=-1), tdnn=OfflineTdnnModelConfig(model=""), zipformer_ctc=OfflineZipformerCtcModelConfig(model=""), wenet_ctc=OfflineWenetCtcModelConfig(model=""), tokens="./sherpa-onnx-paraformer-en-2024-03-09/tokens.txt", num_threads=2, debug=False, provider="cpu", model_type=""), lm_config=OfflineLMConfig(model="", scale=0.5), ctc_fst_decoder_config=OfflineCtcFstDecoderConfig(graph="", max_active=3000), decoding_method="greedy_search", max_active_paths=4, hotwords_file="", hotwords_score=1.5, blank_penalty=0)
Creating recognizer ...
Started
/project/sherpa-onnx/csrc/offline-stream.cc:AcceptWaveformImpl:119 Creating a resampler:
in_sample_rate: 8000
output_sample_rate: 16000
Done!
./sherpa-onnx-paraformer-en-2024-03-09/test_wavs/0.wav
{"text": " after early nightfall the yellow lamps would light up here and there the squalid quarter of the brothels", "timestamps": [], "tokens":["after", "early", "ni@@", "ght@@", "fall", "the", "yel@@", "low", "la@@", "mp@@", "s", "would", "light", "up", "here", "and", "there", "the", "squ@@", "al@@", "id", "quarter", "of", "the", "bro@@", "the@@", "ls"]}
----
./sherpa-onnx-paraformer-en-2024-03-09/test_wavs/1.wav
{"text": " god as a direct consequence of the sin which man thus punished had given her a lovely child whose place was 'on' that same dishonoured bosom to connect her parent for ever with the race and descent of mortals and to be finally a blessed soul in heaven", "timestamps": [], "tokens":["god", "as", "a", "direct", "con@@", "sequence", "of", "the", "sin", "which", "man", "thus", "p@@", "uni@@", "shed", "had", "given", "her", "a", "lo@@", "vely", "child", "whose", "place", "was", "'on'", "that", "same", "di@@", "sh@@", "on@@", "ou@@", "red", "bo@@", "so@@", "m", "to", "connect", "her", "paren@@", "t", "for", "ever", "with", "the", "race", "and", "des@@", "cent", "of", "mor@@", "tal@@", "s", "and", "to", "be", "finally", "a", "bl@@", "essed", "soul", "in", "hea@@", "ven"]}
----
./sherpa-onnx-paraformer-en-2024-03-09/test_wavs/8k.wav
{"text": " yet these thoughts affected hester prynne less with hope than apprehension", "timestamps": [], "tokens":["yet", "these", "thoughts", "aff@@", "ected", "he@@", "ster", "pr@@", "y@@", "n@@", "ne", "less", "with", "hope", "than", "ap@@", "pre@@", "hen@@", "sion"]}
----
num threads: 2
decoding method: greedy_search
Elapsed seconds: 7.173 s
Real time factor (RTF): 7.173 / 28.165 = 0.255
int8
The following code shows how to use int8 models to decode wave files:
cd /path/to/sherpa-onnx
./build/bin/sherpa-onnx-offline \
--tokens=./sherpa-onnx-paraformer-en-2024-03-09/tokens.txt \
--paraformer=./sherpa-onnx-paraformer-en-2024-03-09/model.int8.onnx \
./sherpa-onnx-paraformer-en-2024-03-09/test_wavs/0.wav \
./sherpa-onnx-paraformer-en-2024-03-09/test_wavs/1.wav \
./sherpa-onnx-paraformer-en-2024-03-09/test_wavs/8k.wav
Note
Please use ./build/bin/Release/sherpa-onnx-offline.exe for Windows.
You should see the following output:
/project/sherpa-onnx/csrc/parse-options.cc:Read:361 sherpa-onnx-offline --tokens=./sherpa-onnx-paraformer-en-2024-03-09/tokens.txt --paraformer=./sherpa-onnx-paraformer-en-2024-03-09/model.int8.onnx ./sherpa-onnx-paraformer-en-2024-03-09/test_wavs/0.wav ./sherpa-onnx-paraformer-en-2024-03-09/test_wavs/1.wav ./sherpa-onnx-paraformer-en-2024-03-09/test_wavs/8k.wav
OfflineRecognizerConfig(feat_config=OfflineFeatureExtractorConfig(sampling_rate=16000, feature_dim=80), model_config=OfflineModelConfig(transducer=OfflineTransducerModelConfig(encoder_filename="", decoder_filename="", joiner_filename=""), paraformer=OfflineParaformerModelConfig(model="./sherpa-onnx-paraformer-en-2024-03-09/model.int8.onnx"), nemo_ctc=OfflineNemoEncDecCtcModelConfig(model=""), whisper=OfflineWhisperModelConfig(encoder="", decoder="", language="", task="transcribe", tail_paddings=-1), tdnn=OfflineTdnnModelConfig(model=""), zipformer_ctc=OfflineZipformerCtcModelConfig(model=""), wenet_ctc=OfflineWenetCtcModelConfig(model=""), tokens="./sherpa-onnx-paraformer-en-2024-03-09/tokens.txt", num_threads=2, debug=False, provider="cpu", model_type=""), lm_config=OfflineLMConfig(model="", scale=0.5), ctc_fst_decoder_config=OfflineCtcFstDecoderConfig(graph="", max_active=3000), decoding_method="greedy_search", max_active_paths=4, hotwords_file="", hotwords_score=1.5, blank_penalty=0)
Creating recognizer ...
Started
/project/sherpa-onnx/csrc/offline-stream.cc:AcceptWaveformImpl:119 Creating a resampler:
in_sample_rate: 8000
output_sample_rate: 16000
Done!
./sherpa-onnx-paraformer-en-2024-03-09/test_wavs/0.wav
{"text": " after early nightfall the yellow lamps would light up here and there the squalid quarter of the brothels", "timestamps": [], "tokens":["after", "early", "ni@@", "ght@@", "fall", "the", "yel@@", "low", "la@@", "mp@@", "s", "would", "light", "up", "here", "and", "there", "the", "squ@@", "al@@", "id", "quarter", "of", "the", "bro@@", "the@@", "ls"]}
----
./sherpa-onnx-paraformer-en-2024-03-09/test_wavs/1.wav
{"text": " god as a direct consequence of the sin which man thus punished had given her a lovely child whose place was 'on' that same dishonoured bosom to connect her parent for ever with the race and descent of mortals and to be finally a blessed soul in heaven", "timestamps": [], "tokens":["god", "as", "a", "direct", "con@@", "sequence", "of", "the", "sin", "which", "man", "thus", "p@@", "uni@@", "shed", "had", "given", "her", "a", "lo@@", "vely", "child", "whose", "place", "was", "'on'", "that", "same", "di@@", "sh@@", "on@@", "ou@@", "red", "bo@@", "so@@", "m", "to", "connect", "her", "paren@@", "t", "for", "ever", "with", "the", "race", "and", "des@@", "cent", "of", "mor@@", "tal@@", "s", "and", "to", "be", "finally", "a", "bl@@", "essed", "soul", "in", "hea@@", "ven"]}
----
./sherpa-onnx-paraformer-en-2024-03-09/test_wavs/8k.wav
{"text": " yet these thoughts affected hester prynne less with hope than apprehension", "timestamps": [], "tokens":["yet", "these", "thoughts", "aff@@", "ected", "he@@", "ster", "pr@@", "y@@", "n@@", "ne", "less", "with", "hope", "than", "ap@@", "pre@@", "hen@@", "sion"]}
----
num threads: 2
decoding method: greedy_search
Elapsed seconds: 5.492 s
Real time factor (RTF): 5.492 / 28.165 = 0.195
Speech recognition from a microphone
cd /path/to/sherpa-onnx
./build/bin/sherpa-onnx-microphone-offline \
--tokens=./sherpa-onnx-paraformer-en-2024-03-09/tokens.txt \
--paraformer=./sherpa-onnx-paraformer-en-2024-03-09/model.int8.onnx
csukuangfj/sherpa-onnx-paraformer-zh-small-2024-03-09 (Chinese + English)
Note
This model does not support timestamps. It is a bilingual model, supporting both Chinese and English. (支持普通话、河南话、天津话、四川话等方言)
This model is converted from
In the following, we describe how to download it and use it with sherpa-onnx.
Download the model
Please use the following commands to download it.
cd /path/to/sherpa-onnx
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-zh-small-2024-03-09.tar.bz2
# For Chinese users
wget https://hub.nuaa.cf/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-zh-small-2024-03-09.tar.bz2
tar xvf sherpa-onnx-paraformer-zh-small-2024-03-09.tar.bz2
Please check that the file sizes of the pre-trained models are correct. See
the file sizes of *.onnx files below.
sherpa-onnx-paraformer-zh-small-2024-03-09$ ls -lh *.onnx
-rw-r--r-- 1 1001 127 79M Mar 10 00:48 model.int8.onnx
Decode wave files
Hint
It supports decoding only wave files of a single channel with 16-bit encoded samples, while the sampling rate does not need to be 16 kHz.
int8
The following code shows how to use int8 models to decode wave files:
cd /path/to/sherpa-onnx
./build/bin/sherpa-onnx-offline \
--tokens=./sherpa-onnx-paraformer-zh-small-2024-03-09/tokens.txt \
--paraformer=./sherpa-onnx-paraformer-zh-small-2024-03-09/model.int8.onnx \
./sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/0.wav \
./sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/1.wav \
./sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/8k.wav \
./sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/2-zh-en.wav \
./sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/3-sichuan.wav \
./sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/4-tianjin.wav \
./sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/5-henan.wav
Note
Please use ./build/bin/Release/sherpa-onnx-offline.exe for Windows.
Caution
If you use Windows and get encoding issues, please run:
CHCP 65001
in your commandline.
You should see the following output:
/project/sherpa-onnx/csrc/parse-options.cc:Read:361 sherpa-onnx-offline --tokens=./sherpa-onnx-paraformer-zh-small-2024-03-09/tokens.txt --paraformer=./sherpa-onnx-paraformer-zh-small-2024-03-09/model.int8.onnx ./sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/0.wav ./sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/1.wav ./sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/8k.wav ./sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/2-zh-en.wav ./sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/3-sichuan.wav ./sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/4-tianjin.wav ./sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/5-henan.wav
OfflineRecognizerConfig(feat_config=OfflineFeatureExtractorConfig(sampling_rate=16000, feature_dim=80), model_config=OfflineModelConfig(transducer=OfflineTransducerModelConfig(encoder_filename="", decoder_filename="", joiner_filename=""), paraformer=OfflineParaformerModelConfig(model="./sherpa-onnx-paraformer-zh-small-2024-03-09/model.int8.onnx"), nemo_ctc=OfflineNemoEncDecCtcModelConfig(model=""), whisper=OfflineWhisperModelConfig(encoder="", decoder="", language="", task="transcribe", tail_paddings=-1), tdnn=OfflineTdnnModelConfig(model=""), zipformer_ctc=OfflineZipformerCtcModelConfig(model=""), wenet_ctc=OfflineWenetCtcModelConfig(model=""), tokens="./sherpa-onnx-paraformer-zh-small-2024-03-09/tokens.txt", num_threads=2, debug=False, provider="cpu", model_type=""), lm_config=OfflineLMConfig(model="", scale=0.5), ctc_fst_decoder_config=OfflineCtcFstDecoderConfig(graph="", max_active=3000), decoding_method="greedy_search", max_active_paths=4, hotwords_file="", hotwords_score=1.5, blank_penalty=0)
Creating recognizer ...
Started
/project/sherpa-onnx/csrc/offline-stream.cc:AcceptWaveformImpl:119 Creating a resampler:
in_sample_rate: 8000
output_sample_rate: 16000
Done!
./sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/0.wav
{"text": "对我做了介绍啊那么我想说的是呢大家如果对我的研究感兴趣呢", "timestamps": [], "tokens":["对", "我", "做", "了", "介", "绍", "啊", "那", "么", "我", "想", "说", "的", "是", "呢", "大", "家", "如", "果", "对", "我", "的", "研", "究", "感", "兴", "趣", "呢"]}
----
./sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/1.wav
{"text": "重点呢想谈三个问题首先呢就是这一轮全球金融动荡的表现", "timestamps": [], "tokens":["重", "点", "呢", "想", "谈", "三", "个", "问", "题", "首", "先", "呢", "就", "是", "这", "一", "轮", "全", "球", "金", "融", "动", "荡", "的", "表", "现"]}
----
./sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/8k.wav
{"text": "深入的分析这一次全球金融动荡背后的根源", "timestamps": [], "tokens":["深", "入", "的", "分", "析", "这", "一", "次", "全", "球", "金", "融", "动", "荡", "背", "后", "的", "根", "源"]}
----
./sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/2-zh-en.wav
{"text": " yesterday was 星期一 today is tuesday 明天是星期三", "timestamps": [], "tokens":["ye@@", "ster@@", "day", "was", "星", "期", "一", "today", "is", "tu@@", "es@@", "day", "明", "天", "是", "星", "期", "三"]}
----
./sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/3-sichuan.wav
{"text": "自己就是在那个在那个就是在情节里面就是感觉是演的特别好就是好像很真实一样你知道吧", "timestamps": [], "tokens":["自", "己", "就", "是", "在", "那", "个", "在", "那", "个", "就", "是", "在", "情", "节", "里", "面", "就", "是", "感", "觉", "是", "演", "的", "特", "别", "好", "就", "是", "好", "像", "很", "真", "实", "一", "样", "你", "知", "道", "吧"]}
----
./sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/4-tianjin.wav
{"text": "其实他就是怕每个人都可以守法就这意思法律意识太单薄了而且就是嗯也不顾及到别人的感受", "timestamps": [], "tokens":["其", "实", "他", "就", "是", "怕", "每", "个", "人", "都", "可", "以", "守", "法", "就", "这", "意", "思", "法", "律", "意", "识", "太", "单", "薄", "了", "而", "且", "就", "是", "嗯", "也", "不", "顾", "及", "到", "别", "人", "的", "感", "受"]}
----
./sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/5-henan.wav
{"text": "他这个管一向都通到有时候都通到七八层楼缸然后他这管一向就可以浇到那个那柱子上", "timestamps": [], "tokens":["他", "这", "个", "管", "一", "向", "都", "通", "到", "有", "时", "候", "都", "通", "到", "七", "八", "层", "楼", "缸", "然", "后", "他", "这", "管", "一", "向", "就", "可", "以", "浇", "到", "那", "个", "那", "柱", "子", "上"]}
----
num threads: 2
decoding method: greedy_search
Elapsed seconds: 3.562 s
Real time factor (RTF): 3.562 / 47.023 = 0.076
Speech recognition from a microphone
cd /path/to/sherpa-onnx
./build/bin/sherpa-onnx-microphone-offline \
--tokens=./sherpa-onnx-paraformer-zh-small-2024-03-09/tokens.txt \
--paraformer=./sherpa-onnx-paraformer-zh-small-2024-03-09/model.int8.onnx
csukuangfj/sherpa-onnx-paraformer-zh-2024-03-09 (Chinese + English)
Note
This model does not support timestamps. It is a bilingual model, supporting both Chinese and English. (支持普通话、河南话、天津话、四川话等方言)
This model is converted from
In the following, we describe how to download it and use it with sherpa-onnx.
Download the model
Please use the following commands to download it.
cd /path/to/sherpa-onnx
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-zh-2024-03-09.tar.bz2
# For Chinese users
# wget https://hub.nuaa.cf/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-zh-2024-03-09.tar.bz2
tar xvf sherpa-onnx-paraformer-zh-2024-03-09.tar.bz2
Please check that the file sizes of the pre-trained models are correct. See
the file sizes of *.onnx files below.
sherpa-onnx-paraformer-zh-2024-03-09$ ls -lh *.onnx
-rw-r--r-- 1 1001 127 217M Mar 10 02:22 model.int8.onnx
-rw-r--r-- 1 1001 127 785M Mar 10 02:22 model.onnx
Decode wave files
Hint
It supports decoding only wave files of a single channel with 16-bit encoded samples, while the sampling rate does not need to be 16 kHz.
fp32
The following code shows how to use fp32 models to decode wave files:
cd /path/to/sherpa-onnx
./build/bin/sherpa-onnx-offline \
--tokens=./sherpa-onnx-paraformer-zh-2024-03-09/tokens.txt \
--paraformer=./sherpa-onnx-paraformer-zh-2024-03-09/model.onnx \
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/0.wav \
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/1.wav \
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/8k.wav \
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/2-zh-en.wav \
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/3-sichuan.wav \
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/4-tianjin.wav \
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/5-henan.wav
Note
Please use ./build/bin/Release/sherpa-onnx-offline.exe for Windows.
Caution
If you use Windows and get encoding issues, please run:
CHCP 65001
in your commandline.
You should see the following output:
/project/sherpa-onnx/csrc/parse-options.cc:Read:361 sherpa-onnx-offline --tokens=./sherpa-onnx-paraformer-zh-2024-03-09/tokens.txt --paraformer=./sherpa-onnx-paraformer-zh-2024-03-09/model.onnx ./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/0.wav ./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/1.wav ./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/8k.wav ./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/2-zh-en.wav ./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/3-sichuan.wav ./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/4-tianjin.wav ./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/5-henan.wav
OfflineRecognizerConfig(feat_config=OfflineFeatureExtractorConfig(sampling_rate=16000, feature_dim=80), model_config=OfflineModelConfig(transducer=OfflineTransducerModelConfig(encoder_filename="", decoder_filename="", joiner_filename=""), paraformer=OfflineParaformerModelConfig(model="./sherpa-onnx-paraformer-zh-2024-03-09/model.onnx"), nemo_ctc=OfflineNemoEncDecCtcModelConfig(model=""), whisper=OfflineWhisperModelConfig(encoder="", decoder="", language="", task="transcribe", tail_paddings=-1), tdnn=OfflineTdnnModelConfig(model=""), zipformer_ctc=OfflineZipformerCtcModelConfig(model=""), wenet_ctc=OfflineWenetCtcModelConfig(model=""), tokens="./sherpa-onnx-paraformer-zh-2024-03-09/tokens.txt", num_threads=2, debug=False, provider="cpu", model_type=""), lm_config=OfflineLMConfig(model="", scale=0.5), ctc_fst_decoder_config=OfflineCtcFstDecoderConfig(graph="", max_active=3000), decoding_method="greedy_search", max_active_paths=4, hotwords_file="", hotwords_score=1.5, blank_penalty=0)
Creating recognizer ...
Started
/project/sherpa-onnx/csrc/offline-stream.cc:AcceptWaveformImpl:119 Creating a resampler:
in_sample_rate: 8000
output_sample_rate: 16000
Done!
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/0.wav
{"text": "对我做了介绍啊那么我想说的是呢大家如果对我的研究感兴趣呢你", "timestamps": [], "tokens":["对", "我", "做", "了", "介", "绍", "啊", "那", "么", "我", "想", "说", "的", "是", "呢", "大", "家", "如", "果", "对", "我", "的", "研", "究", "感", "兴", "趣", "呢", "你"]}
----
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/1.wav
{"text": "重点呢想谈三个问题首先呢就是这一轮全球金融动荡的表现", "timestamps": [], "tokens":["重", "点", "呢", "想", "谈", "三", "个", "问", "题", "首", "先", "呢", "就", "是", "这", "一", "轮", "全", "球", "金", "融", "动", "荡", "的", "表", "现"]}
----
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/8k.wav
{"text": "深入的分析这一次全球金融动荡背后的根源", "timestamps": [], "tokens":["深", "入", "的", "分", "析", "这", "一", "次", "全", "球", "金", "融", "动", "荡", "背", "后", "的", "根", "源"]}
----
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/2-zh-en.wav
{"text": " yesterday was 星期一 today is tuesday 明天是星期三", "timestamps": [], "tokens":["ye@@", "ster@@", "day", "was", "星", "期", "一", "today", "is", "tu@@", "es@@", "day", "明", "天", "是", "星", "期", "三"]}
----
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/3-sichuan.wav
{"text": "自己就是在那个在那个就是在情节里面就是感觉是演的特别好就是好像很真实一样你知道吧", "timestamps": [], "tokens":["自", "己", "就", "是", "在", "那", "个", "在", "那", "个", "就", "是", "在", "情", "节", "里", "面", "就", "是", "感", "觉", "是", "演", "的", "特", "别", "好", "就", "是", "好", "像", "很", "真", "实", "一", "样", "你", "知", "道", "吧"]}
----
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/4-tianjin.wav
{"text": "其实他就是怕每个人都可以守法就这意思法律意识太单薄了而且就是嗯也不顾及到别人的感受", "timestamps": [], "tokens":["其", "实", "他", "就", "是", "怕", "每", "个", "人", "都", "可", "以", "守", "法", "就", "这", "意", "思", "法", "律", "意", "识", "太", "单", "薄", "了", "而", "且", "就", "是", "嗯", "也", "不", "顾", "及", "到", "别", "人", "的", "感", "受"]}
----
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/5-henan.wav
{"text": "他这个管一向都通到有时候都通到七八层楼高然后他的管一向就可以交到那个那柱子上", "timestamps": [], "tokens":["他", "这", "个", "管", "一", "向", "都", "通", "到", "有", "时", "候", "都", "通", "到", "七", "八", "层", "楼", "高", "然", "后", "他", "的", "管", "一", "向", "就", "可", "以", "交", "到", "那", "个", "那", "柱", "子", "上"]}
----
num threads: 2
decoding method: greedy_search
Elapsed seconds: 6.829 s
Real time factor (RTF): 6.829 / 47.023 = 0.145
int8
The following code shows how to use int8 models to decode wave files:
cd /path/to/sherpa-onnx
./build/bin/sherpa-onnx-offline \
--tokens=./sherpa-onnx-paraformer-zh-2024-03-09/tokens.txt \
--paraformer=./sherpa-onnx-paraformer-zh-2024-03-09/model.int8.onnx \
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/0.wav \
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/1.wav \
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/8k.wav \
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/2-zh-en.wav \
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/3-sichuan.wav \
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/4-tianjin.wav \
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/5-henan.wav
Note
Please use ./build/bin/Release/sherpa-onnx-offline.exe for Windows.
Caution
If you use Windows and get encoding issues, please run:
CHCP 65001
in your commandline.
You should see the following output:
/project/sherpa-onnx/csrc/parse-options.cc:Read:361 sherpa-onnx-offline --tokens=./sherpa-onnx-paraformer-zh-2024-03-09/tokens.txt --paraformer=./sherpa-onnx-paraformer-zh-2024-03-09/model.onnx ./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/0.wav ./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/1.wav ./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/8k.wav ./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/2-zh-en.wav ./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/3-sichuan.wav ./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/4-tianjin.wav ./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/5-henan.wav
OfflineRecognizerConfig(feat_config=OfflineFeatureExtractorConfig(sampling_rate=16000, feature_dim=80), model_config=OfflineModelConfig(transducer=OfflineTransducerModelConfig(encoder_filename="", decoder_filename="", joiner_filename=""), paraformer=OfflineParaformerModelConfig(model="./sherpa-onnx-paraformer-zh-2024-03-09/model.onnx"), nemo_ctc=OfflineNemoEncDecCtcModelConfig(model=""), whisper=OfflineWhisperModelConfig(encoder="", decoder="", language="", task="transcribe", tail_paddings=-1), tdnn=OfflineTdnnModelConfig(model=""), zipformer_ctc=OfflineZipformerCtcModelConfig(model=""), wenet_ctc=OfflineWenetCtcModelConfig(model=""), tokens="./sherpa-onnx-paraformer-zh-2024-03-09/tokens.txt", num_threads=2, debug=False, provider="cpu", model_type=""), lm_config=OfflineLMConfig(model="", scale=0.5), ctc_fst_decoder_config=OfflineCtcFstDecoderConfig(graph="", max_active=3000), decoding_method="greedy_search", max_active_paths=4, hotwords_file="", hotwords_score=1.5, blank_penalty=0)
Creating recognizer ...
Started
/project/sherpa-onnx/csrc/offline-stream.cc:AcceptWaveformImpl:119 Creating a resampler:
in_sample_rate: 8000
output_sample_rate: 16000
Done!
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/0.wav
{"text": "对我做了介绍啊那么我想说的是呢大家如果对我的研究感兴趣呢你", "timestamps": [], "tokens":["对", "我", "做", "了", "介", "绍", "啊", "那", "么", "我", "想", "说", "的", "是", "呢", "大", "家", "如", "果", "对", "我", "的", "研", "究", "感", "兴", "趣", "呢", "你"]}
----
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/1.wav
{"text": "重点呢想谈三个问题首先呢就是这一轮全球金融动荡的表现", "timestamps": [], "tokens":["重", "点", "呢", "想", "谈", "三", "个", "问", "题", "首", "先", "呢", "就", "是", "这", "一", "轮", "全", "球", "金", "融", "动", "荡", "的", "表", "现"]}
----
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/8k.wav
{"text": "深入的分析这一次全球金融动荡背后的根源", "timestamps": [], "tokens":["深", "入", "的", "分", "析", "这", "一", "次", "全", "球", "金", "融", "动", "荡", "背", "后", "的", "根", "源"]}
----
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/2-zh-en.wav
{"text": " yesterday was 星期一 today is tuesday 明天是星期三", "timestamps": [], "tokens":["ye@@", "ster@@", "day", "was", "星", "期", "一", "today", "is", "tu@@", "es@@", "day", "明", "天", "是", "星", "期", "三"]}
----
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/3-sichuan.wav
{"text": "自己就是在那个在那个就是在情节里面就是感觉是演的特别好就是好像很真实一样你知道吧", "timestamps": [], "tokens":["自", "己", "就", "是", "在", "那", "个", "在", "那", "个", "就", "是", "在", "情", "节", "里", "面", "就", "是", "感", "觉", "是", "演", "的", "特", "别", "好", "就", "是", "好", "像", "很", "真", "实", "一", "样", "你", "知", "道", "吧"]}
----
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/4-tianjin.wav
{"text": "其实他就是怕每个人都可以守法就这意思法律意识太单薄了而且就是嗯也不顾及到别人的感受", "timestamps": [], "tokens":["其", "实", "他", "就", "是", "怕", "每", "个", "人", "都", "可", "以", "守", "法", "就", "这", "意", "思", "法", "律", "意", "识", "太", "单", "薄", "了", "而", "且", "就", "是", "嗯", "也", "不", "顾", "及", "到", "别", "人", "的", "感", "受"]}
----
./sherpa-onnx-paraformer-zh-2024-03-09/test_wavs/5-henan.wav
{"text": "他这个管一向都通到有时候都通到七八层楼高然后他的管一向就可以交到那个那柱子上", "timestamps": [], "tokens":["他", "这", "个", "管", "一", "向", "都", "通", "到", "有", "时", "候", "都", "通", "到", "七", "八", "层", "楼", "高", "然", "后", "他", "的", "管", "一", "向", "就", "可", "以", "交", "到", "那", "个", "那", "柱", "子", "上"]}
----
num threads: 2
decoding method: greedy_search
Elapsed seconds: 6.829 s
Real time factor (RTF): 6.829 / 47.023 = 0.145
Speech recognition from a microphone
cd /path/to/sherpa-onnx
./build/bin/sherpa-onnx-microphone-offline \
--tokens=./sherpa-onnx-paraformer-zh-2024-03-09/tokens.txt \
--paraformer=./sherpa-onnx-paraformer-zh-2024-03-09/model.int8.onnx
csukuangfj/sherpa-onnx-paraformer-zh-2023-03-28 (Chinese + English)
Note
This model does not support timestamps. It is a bilingual model, supporting both Chinese and English. (支持普通话、河南话、天津话、四川话等方言)
This model is converted from
The code for converting can be found at
https://huggingface.co/csukuangfj/paraformer-onnxruntime-python-example/tree/main
In the following, we describe how to download it and use it with sherpa-onnx.
Download the model
Please use the following commands to download it.
cd /path/to/sherpa-onnx
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-zh-2023-03-28.tar.bz2
# For Chinese users
# wget https://hub.nuaa.cf/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-zh-2023-03-28.tar.bz2
tar xvf sherpa-onnx-paraformer-zh-2023-03-28.tar.bz2
Please check that the file sizes of the pre-trained models are correct. See
the file sizes of *.onnx files below.
sherpa-onnx-paraformer-zh-2023-03-28$ ls -lh *.onnx
-rw-r--r-- 1 kuangfangjun root 214M Apr 1 07:28 model.int8.onnx
-rw-r--r-- 1 kuangfangjun root 824M Apr 1 07:28 model.onnx
Decode wave files
Hint
It supports decoding only wave files of a single channel with 16-bit encoded samples, while the sampling rate does not need to be 16 kHz.
fp32
The following code shows how to use fp32 models to decode wave files:
cd /path/to/sherpa-onnx
./build/bin/sherpa-onnx-offline \
--tokens=./sherpa-onnx-paraformer-zh-2023-03-28/tokens.txt \
--paraformer=./sherpa-onnx-paraformer-zh-2023-03-28/model.onnx \
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/0.wav \
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/1.wav \
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/2.wav \
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/3-sichuan.wav \
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/4-tianjin.wav \
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/5-henan.wav \
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/6-zh-en.wav \
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/8k.wav
Note
Please use ./build/bin/Release/sherpa-onnx-offline.exe for Windows.
Caution
If you use Windows and get encoding issues, please run:
CHCP 65001
in your commandline.
You should see the following output:
/project/sherpa-onnx/csrc/parse-options.cc:Read:361 sherpa-onnx-offline --tokens=./sherpa-onnx-paraformer-zh-2023-03-28/tokens.txt --paraformer=./sherpa-onnx-paraformer-zh-2023-03-28/model.onnx ./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/0.wav ./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/1.wav ./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/2.wav ./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/3-sichuan.wav ./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/4-tianjin.wav ./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/5-henan.wav ./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/6-zh-en.wav ./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/8k.wav
OfflineRecognizerConfig(feat_config=OfflineFeatureExtractorConfig(sampling_rate=16000, feature_dim=80), model_config=OfflineModelConfig(transducer=OfflineTransducerModelConfig(encoder_filename="", decoder_filename="", joiner_filename=""), paraformer=OfflineParaformerModelConfig(model="./sherpa-onnx-paraformer-zh-2023-03-28/model.onnx"), nemo_ctc=OfflineNemoEncDecCtcModelConfig(model=""), whisper=OfflineWhisperModelConfig(encoder="", decoder="", language="", task="transcribe", tail_paddings=-1), tdnn=OfflineTdnnModelConfig(model=""), zipformer_ctc=OfflineZipformerCtcModelConfig(model=""), wenet_ctc=OfflineWenetCtcModelConfig(model=""), tokens="./sherpa-onnx-paraformer-zh-2023-03-28/tokens.txt", num_threads=2, debug=False, provider="cpu", model_type=""), lm_config=OfflineLMConfig(model="", scale=0.5), ctc_fst_decoder_config=OfflineCtcFstDecoderConfig(graph="", max_active=3000), decoding_method="greedy_search", max_active_paths=4, hotwords_file="", hotwords_score=1.5, blank_penalty=0)
Creating recognizer ...
Started
/project/sherpa-onnx/csrc/offline-stream.cc:AcceptWaveformImpl:119 Creating a resampler:
in_sample_rate: 8000
output_sample_rate: 16000
Done!
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/0.wav
{"text": "对我做了介绍啊那么我想说的是呢大家如果对我的研究感兴趣呢你", "timestamps": [], "tokens":["对", "我", "做", "了", "介", "绍", "啊", "那", "么", "我", "想", "说", "的", "是", "呢", "大", "家", "如", "果", "对", "我", "的", "研", "究", "感", "兴", "趣", "呢", "你"]}
----
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/1.wav
{"text": "重点呢想谈三个问题首先呢就是这一轮全球金融动荡的表现", "timestamps": [], "tokens":["重", "点", "呢", "想", "谈", "三", "个", "问", "题", "首", "先", "呢", "就", "是", "这", "一", "轮", "全", "球", "金", "融", "动", "荡", "的", "表", "现"]}
----
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/2.wav
{"text": "深入的分析这一次全球金融动荡背后的根源", "timestamps": [], "tokens":["深", "入", "的", "分", "析", "这", "一", "次", "全", "球", "金", "融", "动", "荡", "背", "后", "的", "根", "源"]}
----
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/3-sichuan.wav
{"text": "自己就是在那个在那个就是在情节里面就是感觉是演的特别好就是好像很真实一样你知道吧", "timestamps": [], "tokens":["自", "己", "就", "是", "在", "那", "个", "在", "那", "个", "就", "是", "在", "情", "节", "里", "面", "就", "是", "感", "觉", "是", "演", "的", "特", "别", "好", "就", "是", "好", "像", "很", "真", "实", "一", "样", "你", "知", "道", "吧"]}
----
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/4-tianjin.wav
{"text": "其实他就是那每个人都可以守法就这意思法律意识太单薄了而且就是嗯也不顾及到别人的感受", "timestamps": [], "tokens":["其", "实", "他", "就", "是", "那", "每", "个", "人", "都", "可", "以", "守", "法", "就", "这", "意", "思", "法", "律", "意", "识", "太", "单", "薄", "了", "而", "且", "就", "是", "嗯", "也", "不", "顾", "及", "到", "别", "人", "的", "感", "受"]}
----
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/5-henan.wav
{"text": "他这个管一向都通到有时候都通到七八层楼高然后他这管一向就可以浇到那个那柱子上", "timestamps": [], "tokens":["他", "这", "个", "管", "一", "向", "都", "通", "到", "有", "时", "候", "都", "通", "到", "七", "八", "层", "楼", "高", "然", "后", "他", "这", "管", "一", "向", "就", "可", "以", "浇", "到", "那", "个", "那", "柱", "子", "上"]}
----
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/6-zh-en.wav
{"text": " yesterday was 星期一 today is tuesday 明天是星期三", "timestamps": [], "tokens":["ye@@", "ster@@", "day", "was", "星", "期", "一", "today", "is", "tu@@", "es@@", "day", "明", "天", "是", "星", "期", "三"]}
----
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/8k.wav
{"text": "甚至出现交易几乎停滞的情况", "timestamps": [], "tokens":["甚", "至", "出", "现", "交", "易", "几", "乎", "停", "滞", "的", "情", "况"]}
----
num threads: 2
decoding method: greedy_search
Elapsed seconds: 8.547 s
Real time factor (RTF): 8.547 / 51.236 = 0.167
int8
The following code shows how to use int8 models to decode wave files:
cd /path/to/sherpa-onnx
./build/bin/sherpa-onnx-offline \
--tokens=./sherpa-onnx-paraformer-zh-2023-03-28/tokens.txt \
--paraformer=./sherpa-onnx-paraformer-zh-2023-03-28/model.int8.onnx \
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/0.wav \
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/1.wav \
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/2.wav \
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/3-sichuan.wav \
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/4-tianjin.wav \
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/5-henan.wav \
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/6-zh-en.wav \
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/8k.wav
Note
Please use ./build/bin/Release/sherpa-onnx-offline.exe for Windows.
Caution
If you use Windows and get encoding issues, please run:
CHCP 65001
in your commandline.
You should see the following output:
/project/sherpa-onnx/csrc/parse-options.cc:Read:361 sherpa-onnx-offline --tokens=./sherpa-onnx-paraformer-zh-2023-03-28/tokens.txt --paraformer=./sherpa-onnx-paraformer-zh-2023-03-28/model.int8.onnx ./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/0.wav ./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/1.wav ./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/2.wav ./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/3-sichuan.wav ./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/4-tianjin.wav ./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/5-henan.wav ./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/6-zh-en.wav ./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/8k.wav
OfflineRecognizerConfig(feat_config=OfflineFeatureExtractorConfig(sampling_rate=16000, feature_dim=80), model_config=OfflineModelConfig(transducer=OfflineTransducerModelConfig(encoder_filename="", decoder_filename="", joiner_filename=""), paraformer=OfflineParaformerModelConfig(model="./sherpa-onnx-paraformer-zh-2023-03-28/model.int8.onnx"), nemo_ctc=OfflineNemoEncDecCtcModelConfig(model=""), whisper=OfflineWhisperModelConfig(encoder="", decoder="", language="", task="transcribe", tail_paddings=-1), tdnn=OfflineTdnnModelConfig(model=""), zipformer_ctc=OfflineZipformerCtcModelConfig(model=""), wenet_ctc=OfflineWenetCtcModelConfig(model=""), tokens="./sherpa-onnx-paraformer-zh-2023-03-28/tokens.txt", num_threads=2, debug=False, provider="cpu", model_type=""), lm_config=OfflineLMConfig(model="", scale=0.5), ctc_fst_decoder_config=OfflineCtcFstDecoderConfig(graph="", max_active=3000), decoding_method="greedy_search", max_active_paths=4, hotwords_file="", hotwords_score=1.5, blank_penalty=0)
Creating recognizer ...
Started
/project/sherpa-onnx/csrc/offline-stream.cc:AcceptWaveformImpl:119 Creating a resampler:
in_sample_rate: 8000
output_sample_rate: 16000
Done!
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/0.wav
{"text": "对我做了介绍啊那么我想说的是呢大家如果对我的研究感兴趣呢你", "timestamps": [], "tokens":["对", "我", "做", "了", "介", "绍", "啊", "那", "么", "我", "想", "说", "的", "是", "呢", "大", "家", "如", "果", "对", "我", "的", "研", "究", "感", "兴", "趣", "呢", "你"]}
----
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/1.wav
{"text": "重点呢想谈三个问题首先呢就是这一轮全球金融动荡的表现", "timestamps": [], "tokens":["重", "点", "呢", "想", "谈", "三", "个", "问", "题", "首", "先", "呢", "就", "是", "这", "一", "轮", "全", "球", "金", "融", "动", "荡", "的", "表", "现"]}
----
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/2.wav
{"text": "深入的分析这一次全球金融动荡背后的根源", "timestamps": [], "tokens":["深", "入", "的", "分", "析", "这", "一", "次", "全", "球", "金", "融", "动", "荡", "背", "后", "的", "根", "源"]}
----
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/3-sichuan.wav
{"text": "自己就是在那个在那个就是在情节里面就是感觉是演的特别好就是好像很真实一样你知道吧", "timestamps": [], "tokens":["自", "己", "就", "是", "在", "那", "个", "在", "那", "个", "就", "是", "在", "情", "节", "里", "面", "就", "是", "感", "觉", "是", "演", "的", "特", "别", "好", "就", "是", "好", "像", "很", "真", "实", "一", "样", "你", "知", "道", "吧"]}
----
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/4-tianjin.wav
{"text": "其实他就是那每个人都可以守法就这意思法律意识太单薄了而且就是嗯也不顾及到别人的感受", "timestamps": [], "tokens":["其", "实", "他", "就", "是", "那", "每", "个", "人", "都", "可", "以", "守", "法", "就", "这", "意", "思", "法", "律", "意", "识", "太", "单", "薄", "了", "而", "且", "就", "是", "嗯", "也", "不", "顾", "及", "到", "别", "人", "的", "感", "受"]}
----
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/5-henan.wav
{"text": "他这个管一向都通到有时候都通到七八层楼高然后他这管一向就可以浇到那个那柱子上", "timestamps": [], "tokens":["他", "这", "个", "管", "一", "向", "都", "通", "到", "有", "时", "候", "都", "通", "到", "七", "八", "层", "楼", "高", "然", "后", "他", "这", "管", "一", "向", "就", "可", "以", "浇", "到", "那", "个", "那", "柱", "子", "上"]}
----
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/6-zh-en.wav
{"text": " yesterday was 星期一 today is tuesday 明天是星期三", "timestamps": [], "tokens":["ye@@", "ster@@", "day", "was", "星", "期", "一", "today", "is", "tu@@", "es@@", "day", "明", "天", "是", "星", "期", "三"]}
----
./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/8k.wav
{"text": "甚至出现交易几乎停滞的情况", "timestamps": [], "tokens":["甚", "至", "出", "现", "交", "易", "几", "乎", "停", "滞", "的", "情", "况"]}
----
num threads: 2
decoding method: greedy_search
Elapsed seconds: 6.439 s
Real time factor (RTF): 6.439 / 51.236 = 0.126
Speech recognition from a microphone
cd /path/to/sherpa-onnx
./build/bin/sherpa-onnx-microphone-offline \
--tokens=./sherpa-onnx-paraformer-zh-2023-03-28/tokens.txt \
--paraformer=./sherpa-onnx-paraformer-zh-2023-03-28/model.int8.onnx
csukuangfj/sherpa-onnx-paraformer-zh-2023-09-14 (Chinese + English))
Note
This model supports timestamps. It is a bilingual model, supporting both Chinese and English. (支持普通话、河南话、天津话、四川话等方言)
This model is converted from
In the following, we describe how to download it and use it with sherpa-onnx.
Download the model
Please use the following commands to download it.
cd /path/to/sherpa-onnx
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-zh-2023-09-14.tar.bz2
# For Chinese users
# wget https://hub.nuaa.cf/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-zh-2023-09-14.tar.bz2
tar xvf sherpa-onnx-paraformer-zh-2023-09-14.tar.bz2
Please check that the file sizes of the pre-trained models are correct. See
the file sizes of *.onnx files below.
sherpa-onnx-paraformer-zh-2023-09-14$ ls -lh *.onnx
-rw-r--r-- 1 fangjun staff 232M Sep 14 13:46 model.int8.onnx
Decode wave files
Hint
It supports decoding only wave files of a single channel with 16-bit encoded samples, while the sampling rate does not need to be 16 kHz.
int8
The following code shows how to use int8 models to decode wave files:
cd /path/to/sherpa-onnx
./build/bin/sherpa-onnx-offline \
--tokens=./sherpa-onnx-paraformer-zh-2023-09-14/tokens.txt \
--paraformer=./sherpa-onnx-paraformer-zh-2023-09-14/model.int8.onnx \
--model-type=paraformer \
./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/0.wav \
./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/1.wav \
./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/2.wav \
./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/3-sichuan.wav \
./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/4-tianjin.wav \
./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/5-henan.wav \
./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/6-zh-en.wav \
./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/8k.wav
Note
Please use ./build/bin/Release/sherpa-onnx-offline.exe for Windows.
Caution
If you use Windows and get encoding issues, please run:
CHCP 65001
in your commandline.
You should see the following output:
/project/sherpa-onnx/csrc/parse-options.cc:Read:361 sherpa-onnx-offline --tokens=./sherpa-onnx-paraformer-zh-2023-09-14/tokens.txt --paraformer=./sherpa-onnx-paraformer-zh-2023-09-14/model.int8.onnx --model-type=paraformer ./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/0.wav ./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/1.wav ./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/2.wav ./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/3-sichuan.wav ./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/4-tianjin.wav ./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/5-henan.wav ./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/6-zh-en.wav ./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/8k.wav
OfflineRecognizerConfig(feat_config=OfflineFeatureExtractorConfig(sampling_rate=16000, feature_dim=80), model_config=OfflineModelConfig(transducer=OfflineTransducerModelConfig(encoder_filename="", decoder_filename="", joiner_filename=""), paraformer=OfflineParaformerModelConfig(model="./sherpa-onnx-paraformer-zh-2023-09-14/model.int8.onnx"), nemo_ctc=OfflineNemoEncDecCtcModelConfig(model=""), whisper=OfflineWhisperModelConfig(encoder="", decoder="", language="", task="transcribe", tail_paddings=-1), tdnn=OfflineTdnnModelConfig(model=""), zipformer_ctc=OfflineZipformerCtcModelConfig(model=""), wenet_ctc=OfflineWenetCtcModelConfig(model=""), tokens="./sherpa-onnx-paraformer-zh-2023-09-14/tokens.txt", num_threads=2, debug=False, provider="cpu", model_type="paraformer"), lm_config=OfflineLMConfig(model="", scale=0.5), ctc_fst_decoder_config=OfflineCtcFstDecoderConfig(graph="", max_active=3000), decoding_method="greedy_search", max_active_paths=4, hotwords_file="", hotwords_score=1.5, blank_penalty=0)
Creating recognizer ...
Started
/project/sherpa-onnx/csrc/offline-stream.cc:AcceptWaveformImpl:119 Creating a resampler:
in_sample_rate: 8000
output_sample_rate: 16000
Done!
./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/0.wav
{"text": "对我做了介绍啊那么我想说的是呢大家如果对我的研究感兴趣呢你", "timestamps": [0.36, 0.48, 0.62, 0.72, 0.86, 1.02, 1.32, 1.74, 1.90, 2.12, 2.20, 2.38, 2.50, 2.62, 2.74, 3.18, 3.32, 3.52, 3.62, 3.74, 3.82, 3.90, 3.98, 4.08, 4.20, 4.34, 4.56, 4.74, 5.10], "tokens":["对", "我", "做", "了", "介", "绍", "啊", "那", "么", "我", "想", "说", "的", "是", "呢", "大", "家", "如", "果", "对", "我", "的", "研", "究", "感", "兴", "趣", "呢", "你"]}
----
./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/1.wav
{"text": "重点呢想谈三个问题首先呢就是这一轮全球金融动荡的表现", "timestamps": [0.16, 0.30, 0.42, 0.56, 0.72, 0.96, 1.08, 1.20, 1.30, 2.08, 2.26, 2.44, 2.58, 2.72, 2.98, 3.14, 3.26, 3.46, 3.62, 3.80, 3.88, 4.02, 4.12, 4.20, 4.36, 4.56], "tokens":["重", "点", "呢", "想", "谈", "三", "个", "问", "题", "首", "先", "呢", "就", "是", "这", "一", "轮", "全", "球", "金", "融", "动", "荡", "的", "表", "现"]}
----
./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/2.wav
{"text": "深入的分析这一次全球金融动荡背后的根源", "timestamps": [0.34, 0.54, 0.66, 0.80, 1.08, 1.52, 1.72, 1.90, 2.40, 2.68, 2.86, 2.96, 3.16, 3.26, 3.46, 3.54, 3.66, 3.80, 3.90], "tokens":["深", "入", "的", "分", "析", "这", "一", "次", "全", "球", "金", "融", "动", "荡", "背", "后", "的", "根", "源"]}
----
./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/3-sichuan.wav
{"text": "自己就是在那个在那个就是在情节里面就是感觉是演的特别好就是好像很真实一样你知道吧", "timestamps": [0.16, 0.30, 0.56, 0.72, 0.92, 1.18, 1.32, 1.88, 2.24, 2.40, 3.16, 3.28, 3.40, 3.54, 3.76, 3.88, 4.06, 4.24, 4.36, 4.56, 4.66, 4.88, 5.14, 5.30, 5.44, 5.60, 5.72, 5.84, 5.96, 6.14, 6.24, 6.38, 6.56, 6.78, 6.98, 7.08, 7.22, 7.38, 7.50, 7.62], "tokens":["自", "己", "就", "是", "在", "那", "个", "在", "那", "个", "就", "是", "在", "情", "节", "里", "面", "就", "是", "感", "觉", "是", "演", "的", "特", "别", "好", "就", "是", "好", "像", "很", "真", "实", "一", "样", "你", "知", "道", "吧"]}
----
./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/4-tianjin.wav
{"text": "其实他就是那每个人都可以守法就这意思法律意识太单薄了而且就是嗯也不顾及到别人的感受", "timestamps": [0.08, 0.24, 0.36, 0.56, 0.66, 0.78, 1.04, 1.14, 1.26, 1.38, 1.50, 1.58, 1.70, 1.84, 2.28, 2.38, 2.64, 2.74, 3.08, 3.28, 3.66, 3.80, 3.94, 4.14, 4.34, 4.64, 4.84, 4.94, 5.12, 5.24, 5.84, 6.10, 6.24, 6.44, 6.54, 6.66, 6.86, 7.02, 7.14, 7.24, 7.44], "tokens":["其", "实", "他", "就", "是", "那", "每", "个", "人", "都", "可", "以", "守", "法", "就", "这", "意", "思", "法", "律", "意", "识", "太", "单", "薄", "了", "而", "且", "就", "是", "嗯", "也", "不", "顾", "及", "到", "别", "人", "的", "感", "受"]}
----
./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/5-henan.wav
{"text": "他这个管一向都通到有时候都通到七八层楼高然后他这管一向就可以浇到那个那柱子上", "timestamps": [0.08, 0.20, 0.30, 0.42, 0.94, 1.14, 1.26, 1.46, 1.66, 2.28, 2.50, 2.62, 2.70, 2.82, 2.98, 3.14, 3.28, 3.52, 3.70, 3.86, 4.94, 5.06, 5.18, 5.30, 5.42, 5.66, 5.76, 5.94, 6.08, 6.24, 6.38, 6.60, 6.78, 6.96, 7.10, 7.30, 7.50, 7.62], "tokens":["他", "这", "个", "管", "一", "向", "都", "通", "到", "有", "时", "候", "都", "通", "到", "七", "八", "层", "楼", "高", "然", "后", "他", "这", "管", "一", "向", "就", "可", "以", "浇", "到", "那", "个", "那", "柱", "子", "上"]}
----
./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/6-zh-en.wav
{"text": " yesterday was 星期一 today is tuesday 明天是星期三", "timestamps": [0.36, 0.60, 0.84, 1.22, 2.24, 2.44, 2.74, 3.52, 4.06, 4.68, 5.00, 5.12, 5.76, 5.96, 6.24, 6.82, 7.02, 7.26], "tokens":["ye@@", "ster@@", "day", "was", "星", "期", "一", "today", "is", "tu@@", "es@@", "day", "明", "天", "是", "星", "期", "三"]}
----
./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/8k.wav
{"text": "甚至出现交易几乎停滞的情况", "timestamps": [0.48, 0.78, 1.04, 1.18, 1.52, 1.78, 2.06, 2.18, 2.50, 2.66, 2.88, 3.10, 3.30], "tokens":["甚", "至", "出", "现", "交", "易", "几", "乎", "停", "滞", "的", "情", "况"]}
----
num threads: 2
decoding method: greedy_search
Elapsed seconds: 9.206 s
Real time factor (RTF): 9.206 / 51.236 = 0.180
Speech recognition from a microphone
cd /path/to/sherpa-onnx
./build/bin/sherpa-onnx-microphone-offline \
--tokens=./sherpa-onnx-paraformer-zh-2023-09-14/tokens.txt \
--paraformer=./sherpa-onnx-paraformer-zh-2023-09-14/model.int8.onnx \
--model-type=paraformer