Popular GitHub Repositories for Dsp

A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.

The "official" unofficial DSPy framework. Build LLM powered agents and other workflows, based on the Stanford DSP paper.

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

This is a list of sound, audio and music development tools which contains machine learning, audio generation, audio signal processing, sound synthesis, spatial audio, music information retrieval, music generation, speech recognition, speech synthesis, singing voice synthesis and more.

Control adaptive filters with neural networks.

Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.

Ai edge toolbox，专门面向边端设备尤其是嵌入式RTOS平台，AI模型部署工具链，包括模型推理引擎和模型压缩工具

Evolving Artificial Neural Networks for Cross-Adaptive Audio Effects

A GPU accelerated and torch based audio DSP library

An emulation of the Voder Speech Synthesizer.

Estimate the main melody from streaming audio.

Pytorch implementation of CS-Tacotron, a code-switching speech synthesis end-to-end generative TTS model.

Unsupervised Representation Learning for Singing Voice Separation

PrecoderNet: Hybrid Beamforming for Millimeter Wave Systems with Deep Reinforcement Learning

An AI-powered music mixing platform that seamlessly blends songs based on sound characteristics, offering a unique and innovative approach to music composition and remixing. Designed to work with artificial intelligence for intuitive, harmonious music creation.

Generate beats out of given samples

処理の検証や比較検討での用途を想定したノードエディターベースのオーディオ処理アプリ(A node editor-based audioprocessing application intended for use in processing verification and comparison studies)

A DSP Toolkit for PyTorch

Python Implementation for Directional Sparse Filtering with Tensorflow/Keras

Pytorch Implementation of Median-filtering harmonic percussive source separation