Reverse Engineering of Supervised Semantic Speech Tokenizer (S3Tokenizer) proposed in CosyVoice

Tools for handling speech data in machine learning projects.

Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

Vector (and Scalar) Quantization, in Pytorch

Speech, Language, Audio, Music Processing with Large Language Model

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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)

Kaldi-compatible online & offline feature extraction with PyTorch, supporting CUDA, batch processing, chunk processing, and autograd - Provide C++ & Python API

语音方向实验室/公司/资源/实习等，欢迎推荐或自荐

Self-Supervised Speech Pre-training and Representation Learning Toolkit

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

A torch implementation of a recursion which turns out to be useful for RNN-T.

Real-time speech recognition using next-gen Kaldi with onnx without Internet connection

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

FSA/FST algorithms, differentiable, with PyTorch compatibility.

Some fast-ish algorithms for batch text search in moderate-sized collections, intended for data cleanup

KenLM: Faster and Smaller Language Model Queries

Data manipulation and transformation for audio signal processing, powered by PyTorch

End-to-End Speech Processing Toolkit

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

NVIDIA® TensorRT™, an SDK for high-performance deep learning inference, includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for inference applicat…

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

An Introduction to Weighted Automata in Machine Learning