ankushmalaker / easy-stt Goto Github PK

Using this repo is simple:

1. Clone repo: git clone https://github.com/AnkushMalaker/easy-stt.git
2. Create conda environment:

conda create -n easy_stt python=3.8
cd easy-stt
pip install -r requirements.txt

3. Run inference script and select the model python3 src/scripts/infer_live.py -c to run live inference through a connected microphone or python3 src/scripts/infer.py ./input_file.wav ./output.csv -c to run inference on input_file.wav and save result in output.csv. You can even provide a directory instead of a file in the above command and it'll run inference on all files and save results in the csv.

Note: For infer_live.py, the user needs to find which audio device is suitable. Maybe we could build an interface to prompt the user to select the audio device. For now it's manual.

Audio 1:

Transcription: WEREBASICALLY TRYING TO RETAIN THE FINAL LAYER OF THE MODEL SO THAT IT CAN RECOGNIZE MY VOICE AND ACCENT AND ME BETTER

Audio 2:

Transcription THESE MODELS ARE TRAINED ON LARGE CORPORA THAT DOES N'T ALWAYS TRANSLATE TO GREAT PERFORMANCE IN SPECIFIC CASES