mirror of https://github.com/modelscope/FunASR synced 2025-09-15 14:48:36 +08:00

* add hotword for deploy_tools

* Support wfst decoder and contextual biasing (#1039)

* Support wfst decoder and contextual biasing

* Turn on fstbin compilation

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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>

2023-11-07 18:34:29 +08:00

1.8 KiB

Raw Blame History

CPU Benchmark (Libtorch)

Configuration

Data set:

Aishell1 test set , the total audio duration is 36108.919 seconds.

Tools

Install Requirements

Install ModelScope and FunASR

pip install -U modelscope funasr
# For the users in China, you could install with the command:
#pip install -U funasr -i https://mirror.sjtu.edu.cn/pypi/web/simple

Install requirements

git clone https://github.com/alibaba-damo-academy/FunASR.git && cd FunASR
cd funasr/runtime/python/utils
pip install -r requirements.txt

Recipe

test_rtf

set the model, data path and output_dir

nohup bash test_rtf.sh &> log.txt &

test_cer