Zobrazeno 1 - 10
of 169
pro vyhledávání: '"CQT"'
Publikováno v:
PeerJ Computer Science, Vol 10, p e2194 (2024)
In this work, we focus on solving the problem of timbre transfer in audio samples. The goal is to transfer the source audio’s timbre from one instrument to another while retaining as much of the other musical elements as possible, including loudnes
Externí odkaz:
https://doaj.org/article/860f653eef64411296116d24c8b03fd2
Publikováno v:
IEEE Access, Vol 12, Pp 117102-117109 (2024)
Recent studies actively researching user identification utilizing physiological information to verify identity. However, there is a problem with biometric information exposed to the outside of the body being susceptible to forgery and falsification.
Externí odkaz:
https://doaj.org/article/8bba03a8c0fb457fb0be11a0d7a8b60f
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2442 (2024)
Although recent data-driven Underwater Acoustic Target Recognition (UATR) methods have played a dominant role in marine acoustics, they suffer from complex ocean environments and rather small datasets. To tackle such challenges, researchers have reso
Externí odkaz:
https://doaj.org/article/6a70eed0ed0743a69c2bed835635e266
Autor:
Zhang Fan
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
An automatic transcription system can provide a symbolic representation of performance content, and in music education applications, it can assist teachers or students in recording the performance of a piece. This study examines the automatic transcr
Externí odkaz:
https://doaj.org/article/9c31659af3be412c94fad585e18eba2c
Autor:
Ginton, Avital
Publikováno v:
European Polygraph. 16(2 (56)):9-21
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1104321
Akademický článek
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Autor:
Ginton, Avital
Publikováno v:
European Polygraph. 15(2 (54)):9-30
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1012340
Autor:
Amsel, Tuvya T., Ginton, Avital
Publikováno v:
European Polygraph. 15(1 (53)):9-28
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=960114
Publikováno v:
IEEE Access, Vol 8, Pp 34140-34152 (2020)
Most speech authentication algorithms are over-optimized for robustness and efficiency, resulting in poor discrimination. Hashing shorter sequence is likely to cause the same hashing sequence to come from different speech segments, which will cause s
Externí odkaz:
https://doaj.org/article/a9287e520ae848459af56a1b11c34f6a
Publikováno v:
IEEE Access, Vol 8, Pp 161981-162003 (2020)
In this paper, we present nnAudio, a new neural network-based audio processing framework with graphics processing unit (GPU) support that leverages 1D convolutional neural networks to perform time domain to frequency domain conversion. It allows on-t
Externí odkaz:
https://doaj.org/article/fc754591f8114deaa9530e307f062e37