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

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

Python 39 script utilizing Selenium to link an Instagram profile with a list of ISRC codes GitHub stellyesspotifydistrokidlink Python 39 script utilizing Selenium to link an Instagram profile with a list of ISRC codes

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

python wrapper for rubberband

Infinite Jukebox on the command line in Python. It groups musically similar beats of a song into clusters and then plays a random path through the song that makes musical sense, but not does not repeat. It will do this infinitely.

mega Python library for audio augmentation

A Python library for audio Contribute to spotifypedalboard development by creating an account on GitHub

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

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

Digital Audio Workstation with Python VST instrumentseffects parameter automation FAUST JAX Warp Markers and JUCE processors DBraunDawDreamer

C library for audio and music analysis description and synthesis including Python bindings MTGessentia

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

a little GUI tool to render visualization videos of audio files djfunaudiovisualizerpython

Transcribe and translate audio to text using Whisper and DeepL CarleslcAudioToText

Simple Python audio transcriber using OpenAIs Whisper speech recognition model KostasEreksonasAudiotranscriber

Wrapper for pydub AudioSegment objects Contribute to MaxStrangeAudioSegment development by creating an account on GitHub

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

Expressive Digital Signal Processing DSP package for Python danilobelliniaudiolazy

Python library for handling audio datasets Contribute to ynopaudiomate development by creating an account on GitHub

A library for audio and music analysis, feature extraction.

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

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

mirdata is an open-source Python library that provides tools for working with common Music Information Retrieval (MIR) datasets, including tools for: downloading datasets to a common location and format validating that the files for a dataset are all present loading annotation files to a common format, consistent with mir_eval parsing track level metadata for detailed evaluations.

MSAF is a python package for the analysis of music structural segmentation algorithms. It includes a set of features, algorithms, evaluation metrics, and datasets to experiment with.

Mutagen is a Python module to handle audio metadata. It supports ASF, FLAC, MP4, Monkey’s Audio, MP3, Musepack, Ogg Opus, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, WavPack, OptimFROG, and AIFF audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level.

🎛 🔊 Documentation for Pedalboard: A Python library for working with audio.