Search Results for "python music"

LAME is an educational tool to be used for learning about MP3 encoding. The goal of the LAME project is to improve the psycho acoustics, quality and speed of MP3 encoding. Note: we provide source code only!

audioflux is a deep learning tool library for audio and music analysis, feature extraction. It supports dozens of time-frequency analysis transformation methods and hundreds of corresponding time-domain and frequency-domain feature combinations. It can be provided to deep learning networks for training, and is used to study various tasks in the audio field such as Classification, Separation, Music Information Retrieval(MIR) and ASR etc.

A C++ library and Python module for audio synthesis featuring dynamic digital filters. Nsound lets you easily shape waveforms and write to disk or plot them. Nsound aims to be as powerful as Csound but easy to use.

Given two trees of audio files, examine the metadata for each file to try and determine the differences in the content of the trees. This helps find duplicate songs (or non-duplicated songs) even if the music is stored in different formats. Toggles let you determine how specific the matching criteria must be: Track number and song name? Artist, album, and track length? All of the above? Ultimately this program will let you delete duplicates from either the left or right trees, or copy...

Marsyas (Music Analysis, Retrieval and Synthesis for Audio Signals) is a framework for developing systems for audio processing. It provides an general architecture for connecting audio, soundfiles, signal processing blocks and machine learning. Source code at SF is outdated! Marsyas is now hosted at GitHub: https://github.com/marsyas/marsyas Downloads are now provided at Bintray: https://bintray.com/marsyas

Azul is a music organizer that automatically extracts archives, converts file formats, splits audio by CUE and then intelligently identifies, tags, and renames. Just tell Azul what folder to scan and it will do the rest.

Moodtrack contains Python classes for music-emotion analysis and assembly, enabling users to build soundtracks based on emotion and timing. USERS: Music Supervisors/Composers/Producers, Game Audio Developers, Content Providers. FILM DEMO: moodtrack.tv

Open-source content and evaluation framework for music transcription systems. Can be used as monophonic or polyphonic database, through software mixing.