mirror of
https://github.com/modelscope/FunASR
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702ec03ad8
* add hotword for deploy_tools * Support wfst decoder and contextual biasing (#1039) * Support wfst decoder and contextual biasing * Turn on fstbin compilation --------- Co-authored-by: gongbo.gb <gongbo.gb@alibaba-inc.com> * mv funasr/runtime runtime * Fix crash caused by OOV in hotwords list * funasr infer * funasr infer * funasr infer * funasr infer * funasr infer * fix some bugs about fst hotword; support wfst for websocket server and clients; mv runtime out of funasr; modify relative docs * del onnxruntime/include/gflags * update tensor.h * update run_server.sh * update deploy tools * update deploy tools * update websocket-server * update funasr-wss-server * Remove self loop propagation * Update websocket_protocol_zh.md * Update websocket_protocol_zh.md * update hotword protocol * author zhaomingwork: change hotwords for h5 and java * update hotword protocol * catch exception for json_fst_hws * update hotword on message * update onnx benchmark for ngram&hotword * update docs * update funasr-wss-serve * add NONE for LM_DIR * update docs * update run_server.sh * add whats-new * modify whats-new * update whats-new * update whats-new * Support decoder option for beam searching * update benchmark_onnx_cpp * Support decoder option for websocket * fix bug of CompileHotwordEmbedding * update html client * update docs --------- Co-authored-by: gongbo.gb <35997837+aibulamusi@users.noreply.github.com> Co-authored-by: gongbo.gb <gongbo.gb@alibaba-inc.com> Co-authored-by: 游雁 <zhifu.gzf@alibaba-inc.com>
22 lines
649 B
Bash
22 lines
649 B
Bash
chmod +x fst/*
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[ -f path.sh ] && . ./path.sh
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# download train corpus and lexicon
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wget https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/requirements/lm.tar.gz
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tar -zxvf lm.tar.gz
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# train lm, make sure that srilm is installed
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bash fst/train_lms.sh
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# generate lexicon
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python3 fst/generate_lexicon.py lm/corpus.dict lm/lexicon.txt lm/lexicon.out
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# Compile the lexicon and token FSTs
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fst/compile_dict_token.sh lm lm/tmp lm/lang
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# Compile the language-model FST and the final decoding graph TLG.fst
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fst/make_decode_graph.sh lm lm/lang || exit 1;
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# Collect resource files required for decoding
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fst/collect_resource_file.sh lm lm/resource
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