Chroma binary similarity and local alignment applied to cover song identification. EURASIP Journal on Audio, Speech, and Music Process., 2010. Ecological acoustics perspective for content-based retrieval of environmental sounds. Reuse, remix, repeat: the workflows of MIR.
Neural correlates of music-evoked fear and joy: The roles of auditory cortex and superficial amygdala. SongExplorer: a tabletop application for exploring large collections of songs. Detecting solo phrases in music using spectral and pitch-related descriptors. Opensmile: the munich versatile and fast open-source audio feature extractor. Sonic visualiser: An open source application for viewing, analysing, and annotating music audio files. ESSENTIA: an audio analysis library for music information retrieval. Unifying low-level and high-level music similarity measures. Semantic audio content-based music recommendation and visualization based on user preference examples.
The provided functionality, specifically the music descriptors included in-the-box and signal processing algorithms, is easily expandable and allows for both research experiments and development of large-scale industrial applications. Essentia is designed with a focus on the robustness of the provided music descriptors and is optimized in terms of the computational cost of the algorithms.
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The library is cross-platform and currently supports Linux, Mac OS X, and Windows systems. Furthermore, it includes a Vamp plugin to be used with Sonic Visualiser for visualization purposes. The library is also wrapped in Python and includes a number of predefined executable extractors for the available music descriptors, which facilitates its use for fast prototyping and allows setting up research experiments very rapidly. It contains an extensive collection of reusable algorithms which implement audio input/output functionality, standard digital signal processing blocks, statistical characterization of data, and a large set of spectral, temporal, tonal and high-level music descriptors. We present Essentia 2.0, an open-source C++ library for audio analysis and audio-based music information retrieval released under the Affero GPL license.
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