Showing 1-20 of 39 projects
Cross-platform ML framework for real-time media processing
Source separation library for audio processing with pretrained models
A PyTorch-based toolkit for speech processing, including ASR, speaker recognition, and speech enhancement.
An open-source audio recording and editing application that focuses on privacy and security.
A macOS system-wide audio equalizer and volume mixer that allows developers to control audio on their computers.
A high-performance text-to-speech, speech-to-text, and speech-to-speech library for Apple Silicon devices.
A Python library for building and experimenting with audio processing and machine learning models.
A highly optimized GPU-accelerated library for accelerating deep learning training and inference applications.
An open-source implementation of the Shazam audio fingerprinting algorithm for song recognition in Go.
Nim-based video editing tool that provides effortless audio and video processing capabilities.
A comprehensive library for audio and music analysis, feature extraction, and deep learning applications.
A curated list of articles related to deep learning applied to music and audio processing.
OTTO is an open-source sampler, sequencer, multi-engine synth, and effects unit designed for music production and live performance.
A collection of pre-trained, state-of-the-art AI models for the ailia SDK, supporting a wide range of computer vision and natural language processing tasks.
A Go package that brings sound playback and audio processing capabilities to any Go application.
Giada is a free, open-source, hardcore loop machine for live performances and music production.
Open-source large vocabulary continuous speech recognition engine for various applications.
A fast, modern C++ DSP framework with features like FFT, Sample Rate Conversion, and Filters for audio processing.
LedFx is a network-based LED effect engine that delivers advanced real-time audio effects to various devices.
A comprehensive repository for implementing research papers on deep learning, NLP, and computer vision in Python.
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