TS-BSmamba2: A TWO-STAGE BAND-SPLIT MAMBA-2 NETWORK FOR MUSIC SEPARATION

LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.

This repository implements SummaryMixing, a simpler, faster and much cheaper replacement to self-attention for automatic speech recognition (see: https://arxiv.org/abs/2307.07421). The code is read…

Implementation of Band Split Roformer, SOTA Attention network for music source separation out of ByteDance AI Labs

🔍 🐍 Like pstack but for Python!

StarRail Datasets For SVC/SVS/TTS

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

GRAFX: An Open-Source Library for Audio Processing Graphs in PyTorch

Robust Singing Voice Transcription and MIDI Extraction

Official PyTorch implementation of BigVGAN (ICLR 2023)

Multilingual Voice Understanding Model

A generative speech model for daily dialogue.

Predicts the level of noise and reverberation on your audiofiles

Code for paper "GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators"

Awesome speech/audio LLMs, representation learning, and codec models

Generative models for conditional audio generation

TTS Generation Web UI (Bark, MusicGen + AudioGen, Tortoise, RVC, Vocos, Demucs, SeamlessM4T, MAGNet, StyleTTS2, MMS)

natten v0.15.1

Neighborhood Attention Extension. Bringing attention to a neighborhood near you!

TorchCFM: a Conditional Flow Matching library

Diffusion-based singing voice pitch correction

INTERSPEECH2023: Multi-band Time-frequency Attention Network for Singing Melody Extraction from Polyphonic Music

Orion-14B is a family of models includes a 14B foundation LLM, and a series of models: a chat model, a long context model, a quantized model, a RAG fine-tuned model, and an Agent fine-tuned model. …

这是一个用C++实现ASR推理的项目，它依赖很少，安装也很简单，推理速度很快，在树莓派4B等ARM平台也可以流畅的运行。 支持的模型是由Google的Transformer模型中优化而来，数据集是开源wenetspeech(10000+小时)或阿里私有数据集(60000+小时)， 所以识别效果也很好，可以媲美许多商用的ASR软件。

Diffusion model papers, survey, and taxonomy

[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation

Unofficial implementation of NVIDIA P-Flow TTS paper