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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.
Easy-to-use platform-independent plugin API for the extraction of low-level features from audio data in PCM format, as required in the context of music information retrieval software.
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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).