PyTorch Dataset for Speech and Music audio

Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch

Expressive Digital Signal Processing (DSP) package for Python

Python command line utility wrappers for Whispercpp and other speech-to-text utilities

Experimenting with Python and librosa to do Audio Event Detection

A collection of useful audio datasets and transforms for PyTorch.

a little GUI tool to render visualization videos of audio files

Simple Python audio transcriber using OpenAI's Whisper speech recognition model

get-audio-metadata.py is a python script to analyze a folder full of wav files and generate a CSV report containing various metadata including

Data manipulation and transformation for audio signal processing, powered by PyTorch

Python script for analyzing and tagging music files by key and BPM

A minimalistic web app to generate transciption for audio built using Python

Transcribe and translate audio to text using Whisper and DeepL.

Spotlight is a Spotify dashboard that allows user to visualize his listening habits.

Speech recognition module for Python, supporting several engines and APIs, online and offline.

python wrapper for rubberband

LyricsMaster is a library for downloading lyrics from multiple lyrics providers.

Generate synced and unsynced lyrics for .mp3 songs using openai-whisper.

Curated list of python software and packages related to scientific research in audio

A project that trains a LSTM recurrent neural network over a data-set of MIDI files.

A library for audio and music analysis, feature extraction.

A command line lyrics utility tool which search and add lyrics to your offline songs.

Features: Decoding, resampling, and encoding: Babycat’s core feature set includes: decoding MP3, FLAC, and WAV., resampling audio to different frame rates., encoding waveforms to WAV.. Bindings for...

AudioFlux 0.1.2 documentation

Audiomate is a library for easy access to audio datasets. It provides the datastructures for accessing/loading different datasets in a generic way. This should ease the use of audio datasets for example for machine learning tasks.

Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁 - dodiku/AudioOwl: Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁

A python package to parse and process the demixing secrets dataset (DSD) as part of the MUS task of the Signal Separation Evaluation Campaign (SISEC)

Open-source library and tools for audio and music analysis, description and synthesis