๋ฅ๋ฌ๋์ ์ด์ฉํ ์์ฑ์ธ์ ๊ธฐ์ด ์ค์ต
Tutorial for python and data science packages
- python review
- numpy
- matplotlib
Audio file handling using torchaudio
- Load audio file(torchaudio.load)
- Feature extraction(Mel-spectrogram, MFCC)
Audio MNIST classification using MLP(torch.Linear)
Simple Exercise(model training using CTC loss) for Connectionist Temporal Classification
Exercise using OpenAI - Whisper and Gradio
Quartznet Model finetune with Nemo(English to Korean)
Exercise for WFST using k2
- C,L,G transducer
- composition, determinization
PyTorch: pytorch/pytorchNeMo: Nvidia/NeMoTorchAudio: pytorch/audioNumPy: numpy/numpymatplotlib:matplotlib/matplotlibWhisper: openai/whispergradio: gradio-app/gradio