Discrete-time signal processing
Discrete-time signal processing
Multiuser Detection
Musimathics: The Mathematical Foundations of Music, Volume 1
Musimathics: The Mathematical Foundations of Music, Volume 1
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Periodic signal modeling for the octave problem in music transcription
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Multipitch Analysis of Polyphonic Music and Speech Signals Using an Auditory Model
IEEE Transactions on Audio, Speech, and Language Processing
A connectionist approach to automatic transcription of polyphonic piano music
IEEE Transactions on Multimedia
Spreading codes for direct sequence CDMA and wideband CDMA cellular networks
IEEE Communications Magazine
What signal processing can do for the music
CMMR'10 Proceedings of the 7th international conference on Exploring music contents
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In this paper, a piano chords detector based on parallel interference cancellation (PIC) is presented. The proposed system makes use of the novel idea of modeling a segment ofmusic as a third generation mobile communications signal, specifically, as a CDMA (Code Division Multiple Access) signal. The proposed model considers each piano note as a CDMA user in which the spreading code is replaced by a representative note pattern. The lack of orthogonality between the note patterns willmake necessary to design a specific thresholding matrix to decide whether the PIC outputs correspond to the actual notes composing the chord or not. An additional stage that performs an octave test and a fifth test has been included that improves the error rate in the detection of these intervals that are specially difficult to detect. The proposed system attains very good results in both the detection of the notes that compose a chord and the estimation of the polyphony number.