Music information retrieval: Recent developments and applications
We provide a survey of the field of Music Information Retrieval (MIR), in particular paying
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …
A combined model of sensory and cognitive representations underlying tonal expectations in music: from audio signals to behavior.
Listeners' expectations for melodies and harmonies in tonal music are perhaps the most
studied aspect of music cognition. Long debated has been whether faster response times …
studied aspect of music cognition. Long debated has been whether faster response times …
Essentia: An audio analysis library for music information retrieval
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. It contains an extensive …
music information retrieval released under the Affero GPL license. It contains an extensive …
Music recommendation
O Celma - Music recommendation and discovery: The long tail …, 2010 - Springer
This chapter focuses on the recommendation problem in the music domain. Section 3.1
presents some common use cases in music recommendation. After that, Sect. 3.2, discusses …
presents some common use cases in music recommendation. After that, Sect. 3.2, discusses …
[PDF][PDF] A Matlab toolbox for musical feature extraction from audio
We present MIRtoolbox, an integrated set of functions written in Matlab, dedicated to the
extraction of musical features from audio files. The design is based on a modular framework …
extraction of musical features from audio files. The design is based on a modular framework …
Content-based music information retrieval: Current directions and future challenges
The steep rise in music downloading over CD sales has created a major shift in the music
industry away from physical media formats and towards online products and services. Music …
industry away from physical media formats and towards online products and services. Music …
A matlab toolbox for music information retrieval
We present MIRToolbox, an integrated set of functions written in Matlab, dedicated to the
extraction from audio files of musical features related, among others, to timbre, tonality …
extraction from audio files of musical features related, among others, to timbre, tonality …
Identifyingcover songs' with chroma features and dynamic programming beat tracking
DPW Ellis, GE Poliner - 2007 IEEE International Conference on …, 2007 - ieeexplore.ieee.org
Large music collections, ranging from thousands to millions of tracks, are unsuited to manual
searching, motivating the development of automatic search methods. When different …
searching, motivating the development of automatic search methods. When different …
What makes music emotionally significant? Exploring the underlying mechanisms
A common approach to study emotional reactions to music is to attempt to obtain direct links
between musical surface features such as tempo and a listener's response. However, such …
between musical surface features such as tempo and a listener's response. However, such …
Statistical analysis of harmony and melody in rock music
We present a corpus of harmonic analyses and melodic transcriptions of rock songs. After
explaining the creation and notation of the corpus, we present results of some explorations …
explaining the creation and notation of the corpus, we present results of some explorations …