A Computational Framework for Sound Segregation in Music Signals (2009)
Abstract / truncated to 115 words
Music is built from sound, ultimately resulting from an elaborate interaction between the sound-generating properties of physical objects (i.e. music instruments) and the sound perception abilities of the human auditory system. Humans, even without any kind of formal music training, are typically able to ex- tract, almost unconsciously, a great amount of relevant information from a musical signal. Features such as the beat of a musical piece, the main melody of a complex musical ar- rangement, the sound sources and events occurring in a complex musical mixture, the song structure (e.g. verse, chorus, bridge) and the musical genre of a piece, are just some examples of the level of knowledge that a naive listener is ... toggle 10 keywordssound – computational auditory scene analysis – audio source separation – music information retrieval – sinusoidal modeling – spectral clustering – normalized cut – predominant melodic source separation – main melody pitch estimation – timbre recognition
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