Results 201 to 210 of about 2,519 (230)

Differences in dynamic functional connectivity between musicians and non-musicians during naturalistic music listening. [PDF]

Front Neurosci
Dai R, Toiviainen P, Campo FF, Brattico E.   +3 more
europepmc   +1 more source

Eye blinks synchronize with musical beats during music listening. [PDF]

PLoS Biol
Wu Y, Teng X, Du Y.
europepmc   +1 more source

Cortical and behavioral tracking of rhythm in music: Effects of pitch predictability, enjoyment, and expertise. [PDF]

Ann N Y Acad Sci
Keitel A, Pelofi C, Guan X, Watson E, Wight L, Allen S, Mencke I, Keitel C, Rimmele J.   +8 more
europepmc   +1 more source

Linguistic and Musical Syntax Processing in Autistic and Non-Autistic Individuals: An Event-Related Potential (ERP) Study. [PDF]

Autism Res
Li J, Petrova A, Bernotaite Z, Sujawal M, Zhao C, Ahmed H, Jiang C, Liu F.   +7 more
europepmc   +1 more source

Evidence for temporal-coherence-based segregation of complex auditory scenes in the newborn human brain. [PDF]

Front Hum Neurosci
Polver S, Kovács P, Háden GP, Sziller I, Winkler I, Tóth B.   +5 more
europepmc   +1 more source

Effectiveness of music with auditory beat stimulation in reducing state anxiety in Canadian students with trait anxiety: protocol for a randomised controlled trial. [PDF]

BMJ Open
Ueberholz R, Glassman H, Mallik A, Russo FA.   +3 more
europepmc   +1 more source

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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
exaly   +2 more sources

Permutation Invariant Training Based Single-Channel Multi-Talker Speech Recognition with Music Background

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
exaly   +2 more sources

Noting the Difference: Musical Scales and Permutations

The American Mathematical Monthly, 2006
A. (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
openaire   +2 more sources