A generative speech model for daily dialogue.
VoxNovel: generate audiobooks giving each character a different voice actor.
⭐ 本科毕业设计：基于内容的音乐推荐系统设计与开发。使用了Pytorch框架构建训练模型代码，使用Django构建了前后端。
🎙️ Arabic TTS models (Tacotron2, FastPitch)
Pitch-shift audio clips quickly with PyTorch (CUDA supported)! Additional utilities for searching efficient transformations are included.
Cascade is a production-ready, high-performance, and low-latency audio stream processing library designed for Voice Activity Detection (VAD). Built upon the excellent Silero VAD model, Cascade significantly reduces VAD processing latency while maintaining high accuracy through its 1:1:1 binding architecture and asynchronous streaming technology.
Kokoro Language Model Training Script for Russian (Ruslan Corpus)
Time-stretch audio clips quickly with PyTorch (CUDA supported)! Additional utilities for searching efficient transformations are included.
KAE : KAN-based AutoEncoder (AE, VAE, VQ-VAE, RVQ, etc.)
Instructions on how to build PyTorch 2.8 on Debian 12 with support for the AMD gfx1010 architecture
Cross-compilation of PyTorch armv7l (32bit) for RaspberryPi OS
Open Translator: Speech To Speech and Speech to text Translator with voice cloning and other cool features
Tutorial to install torch/pytorch with cuda using uv
Sound classification on Urban Sound Dataset
The Voice Cloner is a Python-based project that leverages Tacotron 2 and WaveGlow models for text-to-speech (TTS) synthesis and basic voice cloning. This project supports 22 official Indian languages, including Sanskrit, making it versatile for multilingual text input.
Speech command classification on Speech-Command v0.02 dataset using PyTorch and torchaudio. In this example, three models have been trained using the raw signal waveforms, MFCC features and MelSpectogram features.
A utility for wrapping the Free Spoken Digit Dataset into PyTorch-ready data set splits.
High fidelity music synthesis using diffusion and UnivNet.
To associate your repository with the torchaudio topic, visit your repo's landing page and select "manage topics."