wav2vec2-live-japanese-translator

Real time speech recognition translator using wav2vec2 and google translate
uses finetuned facebook/wav2vec2-large-xlsr-53 and facebook/wav2vec2-large-960h-lv60-self
it detect speaker (WASAPI for output loopback) and microphone (MME)

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Result

Finetuned model detail

Test WER on Common Voice Japanese test data: 21.48%
Test CER on Common Voice Japanese test data: 9.82%

Fine-tuned facebook/wav2vec2-large-xlsr-53 on Japanese hiragana using

• common_voice
• JSUT
• CSS10
• TEDxJP-10K
• JVS
• JSSS

Required environment to run

conda create -n torch python=3.6   
conda activate torch    
conda install pytorch==1.9.1 torchvision torchaudio==0.9.0 cudatoolkit=11.1 -c pytorch -c nvidia -c conda-forge
pip install datasets==1.11.0  
pip install transformers==4.11.2  
pip install ipywidgets  
pip install jiwer  
pip install pykakasi  
pip install mecab-python3  
pip install unidic-lite

#gui
conda install pytorch==1.9.0 torchaudio==0.9.0 cudatoolkit=10.2 -c pytorch
pip install transformers==4.11.2  
pip install PySoundFile
pip install PyAudio-0.2.11-cp36-cp36m-win_amd64.whl
pip install webrtcvad
pip install googletrans==4.0.0rc1
pip install PyQt5
pip install scipy
pip install pyinstaller

Model finetune code

jp_train.ipynb

Run gui using python

python gui_handler.py

pyinstaller

pyinstaller gui_handler.py -y -n wav2vec2_live_japanese_translator --hidden-import=pytorch --collect-data torch --copy-metadata torch --copy-metadata tqdm --copy-metadata regex --copy-metadata sacremoses --copy-metadata requests --copy-metadata packaging --copy-metadata filelock --copy-metadata numpy --copy-metadata tokenizers --copy-metadata importlib_metadata  --copy-metadata dataclasses

Acknowledgement and References

• wav2vec 2.0
• nlp bookmark
• wav2vec2.0 review1
• wav2vec2.0 review2
• asr base
• fine-tune-xlsr-wav2vec2
• fine-tune-xlsr-wav2vec2-colab
• wav2vec_japanese
• facebook/wav2vec2-large-960h-lv60-self
• facebook/wav2vec2-large-xlsr-53
• wav2vec2-large-xlsr-japanese-hiragana
• wav2vec2-large-xlsr-japanese
• wav2vec2-large-xlsr-53-japanese
• wav2vec2-large-japanese
• common_voice
• JSUT
• CSS10
• TEDxJP-10K
• JVS
• JSSS
• speech-japanese-korean-vietnamese
• Pykakasi
• mecab-python3
• wav2vec2-live
• pyaudio_portaudio
• pororo - wav2vec2
• DeepSpeech-examples
• Hide the title bar
• Window resize
• QThread
• googletrans
• tqdm427_error
• hulk89_ctc
• ratsgo_ctc
• huggingface