⭐ 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。

Pitch-shift audio clips quickly with PyTorch (CUDA supported)! Additional utilities for searching efficient transformations are included.

TTS models for Arabic (Tacotron2, FastPitch)

Time-stretch audio clips quickly with PyTorch (CUDA supported)! Additional utilities for searching efficient transformations are included.

Wheels for Python 3

Cross-compilation of PyTorch armv7l (32bit) for RaspberryPi OS

A utility for wrapping the Free Spoken Digit Dataset into PyTorch-ready data set splits.

Sound classification on Urban Sound Dataset

High fidelity music synthesis using diffusion and UnivNet.

(😞 😨 😄 😮 😍 😠 😐 🤮) This is a simple DL API that classifies human emotions from audios and text.

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.

Speech to Text with Wav2Vec2 using torchaudio

🤖 Telegram bot powered by Deep Learning. Automatically assesses the safety of audios and voice messages for people suffering from misophonia.

TTS (FastPitch) for German

this is a simple artificial neural network model using deep learning and torch-audio to classify cats and dog sounds.

Signal Processing with Python and Librosa

Utilities for preprocessing the Switchboard and WSJ corpora in Python3

TorchAudio: Building Blocks for Audio and Speech Processing

Experiments in neural networks for audio generation.