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--- |
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language: |
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- et |
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library_name: k2 |
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tags: |
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- automatic-speech-recognition |
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- k2 |
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widget: |
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- example_title: AK test 1 |
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src: >- |
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https://huggingface.co/TalTechNLP/icefall_pruned_transducer_stateless7_streaming_et/resolve/main/test_wav.wav |
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license: cc-by-sa-4.0 |
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--- |
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# Icefall streaming ASR model for Estonian |
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This is a streaming end-to-end transducer model for Estonian, trained using [Icefall](https://github.com/k2-fsa/icefall) |
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It is trained on around 800 h of manually transcribed speech from various domains and on |
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about 2500 h of automatically transcribed speech from Estonian TV (mainly news and talkshows) |
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## Serving |
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To use it on a server for browser-based ASR: |
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* Install [Sherpa](https://github.com/k2-fsa/sherpa) |
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* Clone this model locally: |
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``` |
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git lfs install |
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git clone https://huggingface.co/TalTechNLP/icefall_pruned_transducer_stateless7_streaming_et |
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``` |
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* Set SHERPA_ROOT_DIR to the sherpa root directory |
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* Start serving on port 6006: |
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``` |
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sherpa-online-websocket-server --use-gpu=false --decode-chunk-size=32 \ |
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--encoder-model=icefall_pruned_transducer_stateless7_streaming_et/exp/1d/encoder_jit_trace.pt \ |
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--decoder-model=icefall_pruned_transducer_stateless7_streaming_et/exp/1d/decoder_jit_trace.pt \ |
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--joiner-model=icefall_pruned_transducer_stateless7_streaming_et/exp/1d/joiner_jit_trace.pt \ |
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--tokens=icefall_pruned_transducer_stateless7_streaming_et/data/lang_bpe_1000/tokens.txt \ |
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--doc-root=${SHERPA_ROOT_DIR}/sherpa/bin/web --decoding-method=modified_beam_search |
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``` |
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* Open in browser: http://localhost:6006 (also works via ssh tunnel) and go to "Streaming-Record" tab |
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* Click "Connect" and then "Streaming-Record" button, and start talking |
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