Yet Another Audio Feature Extractor is a toolbox for audio analysis. Easy to use and efficient at extracting a large number of audio features simultaneously. WAV and MP3 files supported, or embedding in C++, Python or Matlab applications.
CoRoPa stands for Computational Rough Paths. The aim of CoRoPa is to provide a software framework for various ideas related to Rough Path Theory, including rough differential equations and the digital description of serial data streams.
CAMEL (Content-based Audio and Music Extraction Library) is an easy-to-use C++ framework developed for content-based audio and music analysis. The framework provides a set of tools for easy Segmentation, Feature Extraction, Domain Extraction, etc.
A set of software components used to investigate and implement searching of music and audio. This covers content-based retrieval and meta-data based solutions, segmentation and content selection (summarisation) of audio and music (MIDI, MP3 and WAV).
FreeSP is an infrastructure for programming platform-independend online signal processing applications. Ports to specific platforms (like DSPs and microcontrollers) are made by simply exchanging the freeSP System-module.
A digital signal processing (DSP) framework (w/ audio to midi focus)
Ekstasis is currently a rapidly produced prototype version of a Digital Signal Processing (DSP) framework which seeks to provide signal/data processing modules which can be strung together via Boost library interprocess message queues. Tools for creating and destroying the communication queues, loading/saving PCM 44100 Hz to/from the signal processing chain, windowing the data (currently only a Hann windowing function module), performing a Discrete Fourier Transform (DFT) on the data (using FFT...
Online Music Recognition and Searching II (OMRAS2) toolkit. Open Source tools for metadata and content-based indexing and retrieval of music files. Includes joint vector-metadata query engine and Web Services interface (gSoap and AXIS).