Trying to understand the file format of Tip Toi

Speech To Speech: an effort for an open-sourced and modular GPT4-o

Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.

Speech-to-text server framework with next-gen Kaldi

FSA/FST algorithms, differentiable, with PyTorch compatibility.

A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.

Production First and Production Ready End-to-End Speech Recognition Toolkit

Tools for handling speech data in machine learning projects.

Silero VAD: pre-trained enterprise-grade Voice Activity Detector

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)

Pytorch library for fast transformer implementations

🔗 Some useful websites for programmers.

Espresso: A Fast End-to-End Neural Speech Recognition Toolkit

Python Kaldi speech recognition with grammars that can be set active/inactive dynamically at decode-time

pronunciation dictionaries for multiple languages

End-to-End Speech Processing Toolkit

💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies

G2P with Tensorflow

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Clone a voice in 5 seconds to generate arbitrary speech in real-time

A Python-based modular toolbox for building Deep Neural Network models (using PyTorch) for statistical parametric speech synthesis

Lingvo

📊 A simple command-line script (wrapper for nvidia-smi) for monitoring NVIDIA GPUs

Phonetisaurus G2P

😎 Awesome lists about all kinds of interesting topics

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

A curated list of awesome awesomeness

kaldi-asr/kaldi is the official location of the Kaldi project.

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.