PyTorch re-implementation of Speech-Transformer

Robust Speech Recognition via Large-Scale Weak Supervision

A resource for learning about Machine learning & Deep Learning

Trax — Deep Learning with Clear Code and Speed

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

CommonMark spec, with reference implementations in C and JavaScript

Source code complementing our paper for acoustic event classification using convolutional neural networks.

Grapheme to phoneme conversion with deep learning.

Audio super resolution using neural networks

The official implementation of the Interspeech 2021 paper WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution.

End-to-End Neural Diarization

A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.

Implementation of "MOSNet: Deep Learning based Objective Assessment for Voice Conversion"

End-to-End Speech Processing Toolkit

Large, modern dataset for speech recognition

Self-Supervised Speech Pre-training and Representation Learning Toolkit

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

Trainable algorithm for accurate force alignment