sherpa
1.3
  • Introduction
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  • Pre-trained models

k2-fsa/sherpa

  • sherpa

k2-fsa/sherpa-ncnn

  • sherpa-ncnn

k2-fsa/sherpa-onnx

  • sherpa-onnx

Triton

  • Triton
sherpa
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  • Streaming ASR
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Streaming ASR

This page describes how to use sherpa for streaming ASR.

The following types of transducer models are supported:

  • Emformer

  • ConvEmformer

  • LSTM

  • Zipformer

We support standalone speech recognition as well as server/client based speech recognition using WebSocket.

  • Standalone
    • Transducer
      • Download the pre-trained model
      • greedy search
      • modified beam search
      • fast_beam_search
      • fast_beam_search with LG
  • Endpointing
    • Endpointing Demo (English)
    • Endpointing Demo (Chinese)
      • Short Demo
      • Long Demo
    • Endpointing Demo (Arabic)
  • Secure connections
    • Generate a certificate
    • Start the https server
    • Start the websocket server
  • Emformer transducer based streaming ASR
    • Server
      • Usage
    • Client
      • Usage
  • ConvEmformer transducer based streaming ASR
    • Server
      • Usage
    • Client
      • Usage
  • Conformer transducer based streaming ASR
    • Streaming Chinese ASR
      • Server
      • Client
    • Streaming English ASR
      • Server
      • Client
  • LSTM transducer based streaming ASR
    • English
      • Server
      • Client
    • Chinese
      • Server
      • Client

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