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Icefall streaming ASR model for Estonian

This is a streaming end-to-end transducer model for Estonian, trained using Icefall

It is trained on around 800 h of manually transcribed speech from various domains and on about 2500 h of automatically transcribed speech from Estonian TV (mainly news and talkshows)

Serving

To use it on a server for browser-based ASR:

  • Install Sherpa

  • Clone this model locally:

    git lfs install
    git clone https://huggingface.co/TalTechNLP/icefall_pruned_transducer_stateless7_streaming_et
    
  • Set SHERPA_ROOT_DIR to the sherpa root directory

  • Start serving on port 6006:

    sherpa-online-websocket-server --use-gpu=false --decode-chunk-size=32  \
      --encoder-model=icefall_pruned_transducer_stateless7_streaming_et/exp/1d/encoder_jit_trace.pt \
      --decoder-model=icefall_pruned_transducer_stateless7_streaming_et/exp/1d/decoder_jit_trace.pt \
      --joiner-model=icefall_pruned_transducer_stateless7_streaming_et/exp/1d/joiner_jit_trace.pt  \
      --tokens=icefall_pruned_transducer_stateless7_streaming_et/data/lang_bpe_1000/tokens.txt \
      --doc-root=${SHERPA_ROOT_DIR}/sherpa/bin/web --decoding-method=modified_beam_search
    
  • Open in browser: http://localhost:6006 (also works via ssh tunnel) and go to "Streaming-Record" tab

  • Click "Connect" and then "Streaming-Record" button, and start talking

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