GitHub - Dimlight/LiveASREngine: LiveASREngine using whisper

#Live ASR Engine

I have implemented (not from scratch) LiveASREngine using whisper using the following codebase:

Installation requirements for whisper (developing anaconda environment):

conda create --name tips -c nvidia -c pytorch -c huggingface -c defaults -c conda-forge python autopep8 pytorch torchvision torchaudio
pytorch-cuda=11.7 transformers pyaudio webrtcvad rx halo onnx onnxruntime pyctcdecode
pip install pysoundfile
conda install -c conda-forge ffmpeg

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
LICENSE		LICENSE
PyAudio-0.2.11-cp38-cp38-win_amd64 (1).whl		PyAudio-0.2.11-cp38-cp38-win_amd64 (1).whl
README.md		README.md
audiofileprocessing.py		audiofileprocessing.py
convert_torch_to_onnx.py		convert_torch_to_onnx.py
live_asr.py		live_asr.py
live_vad_asr.py		live_vad_asr.py
onnx_performance_evaluation.py		onnx_performance_evaluation.py
ordinary.wav		ordinary.wav
requirements.txt		requirements.txt
testAsr.py		testAsr.py
testaudio.wav		testaudio.wav
wav2vec2_inference.py		wav2vec2_inference.py
wav2vec2_onnx_inference.py		wav2vec2_onnx_inference.py

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