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This paper proposes a method for separating the signals of individual musical instruments from monaural musical audio. The mixture signal is modeled as a sum of the spectra of individual musical sounds which are further represented as a product of excitations and filters. The excitations are restricted to harmonic spectra and their fundamental frequencies are estimated in advance using a multipitch...
As music has turned digital, much research has been shifted toward digital music processing. Singing voice separation is one of the active research areas since the singing voice itself contains abundant information within, including melody, singerpsilas characteristic, lyrics, language, emotion, etc. These wide variety of resources are quite useful for music information retrieval (MIR), singer identification,...
Sound source separation techniques are known to be very useful in many applications. High fidelity and audio oriented applications are a challenging issue in this topic, however, existing algorithms are far from performing with such a high quality. In this paper, a subjective and objective evaluation are carried out for several algorithms designed for dealing with stereo music mixtures. The performance...
This paper describes a sound source separation method for polyphonic sound mixtures of music to build an instrument equalizer for remixing multiple tracks separated from compact-disc recordings by changing the volume level of each track. Although such mixtures usually include both harmonic and inharmonic sounds, the difficulties in dealing with both types of sounds together have not been addressed...
The increasing needs of content-based automatic indexing for large musical repositories have led to extensive investigation in musical sound pattern recognition. Numerous acoustical sound features have been developed to describe the characteristics of a sound piece. Many of these features have been successfully applied to monophonic sound timbre recognition. However, most of those features failed...
It is necessary that the number of the observation signals equals to the number of source signals, if independent component analysis is used to perform the sound source separation. It is difficult to perform sound source separation from a stereo music sound signal when the number of sound sources are more than two. We propose the technique to perform sound source separation from a stereo music sound...
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