✨✨Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM

GLM-4-Voice | 端到端中英语音对话模型

每小时更新最新的Clash、v2ray节点信息

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

[ICASSP 2023] Official Tensorflow implementation of "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition".

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Best practice TTS based on BERT and VITS with some Natural Speech Features Of Microsoft; Support streaming out!

Core Engine of Singing Voice Conversion & Singing Voice Clone

Auto-AVSR: Lip-Reading Sentences Project

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

微调Whisper语音识别模型，支持无时间戳数据训练，有时间戳数据训练、无语音数据训练。加速推理，支持Web部署、Windows桌面部署和Android部署

Implementation of "Attention Is Off By One" by Evan Miller

This repo is a pipeline of VITS finetuning for fast speaker adaptation TTS, and many-to-many voice conversion

[INTERSPEECH 2023] Knowledge Transfer from Pre-trained Language Models to Cif-based Recognizers via Hierarchical Distillation

生成式AI的应用路线图 The roadmap of generative AI: use cases and applications

A Fundamental End-to-End Speech Recognition Toolkit

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

Robust Speech Recognition via Large-Scale Weak Supervision

SoftVC VITS Singing Voice Conversion

Making big AI models cheaper, easier, and scalable

Efficient neural speech synthesis

A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, …

结巴中文分词

chinese speech pretrained models

Official PyTorch implementation of paper Leveraging Unimodal Self Supervised Learning for Multimodal Audio-Visual Speech Recognition

Keras Layer implementation of Attention for Sequential models

Perceptual Metrics of Audio - perceptually relevant loss function. DPAM and CDPAM