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PolyRNN: A time-resolved model of polyphonic musical expectations aligned with human brain responses
Robert P +7 more
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Permutation Alignment Based on MUSIC Spectrum Discrepancy for Blind Source Separation
2019 27th European Signal Processing Conference (EUSIPCO), 2019 Conventional time-frequency-domain blind source separation (BSS) requires permutation alignment of the sound sources. Permutation alignment methods can be classified into two types: those that use the direction of arrival (DOA) constraints and those that model the sound source characteristics instead of DOA constraints.
Yuuki Tachioka
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2019 International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM), 2019 This paper addresses the single-channel multi-talker speech recognition task with music background, where the speech recognition accuracy will deteriorate significantly. To improve the speech recognition accuracy with music background, we propose two approaches: 1) music-separation method to separate human speech from the music background, 2 ...
Yuexi Shangguan, Jiayi Yang
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Finite self-similar sequences, permutation cycles, and music composition
Journal of Mathematics and the Arts, 2022 Christopher Adler, Jean-Paul Allouche
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Shared Processes in Spatial Rotation and Musical Permutation
Brain and Cognition, 2001An experiment was conducted in which subjects performed a three-dimensional spatial rotation test (24 trials) and a new test involving judgments of musical permutations (64 trials). Two types of musical permutations were used, including retrograde and inverse. In a retrograde permutation, the criterion melody was played backward in the test melody, and
G C, Cupchik, K, Phillips, D S, Hill
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Noting the Difference: Musical Scales and Permutations
The American Mathematical Monthly, 2006A. (1937) 355–357. 9. S. Kakutani, On Nakano’s talk, Zenokuku Sugaku Danwakai Osaka 192 (1940) 42–44 (Japanese). 10. N. Nakano, On a theorem in Hilbert space, Zenokuku Sugaku Danwakai Osaka 192 (1940) 39–42 (Japanese). 11. , Spectral Theory in the Hilbert Space, Japan Society for the Promotion of Science, Tokyo, 1953. 12. K. T. Smith, D. C. Solmon, and
Danielle Silverman, Jim Wiseman
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Understanding Optical Music Recognition
ACM Computing Surveys, 2021Jorge Calvo-Zaragoza, Alexander Pacha
exaly