Zobrazeno 1 - 10
of 2 132
pro vyhledávání: '"q-transform"'
Publikováno v:
IEEE Access, Vol 12, Pp 114735-114744 (2024)
Acoustic echo is a persistent issue in telecommunication that degrades the quality of speech and breaks down communication either entirely or for a period of time; therefore, acoustic echo cancellation (AEC) systems were developed. The demand for AEC
Externí odkaz:
https://doaj.org/article/49d2503d546048038fcf479704c80f33
Autor:
Kandukuri Usha Rani, Prakash Allam Jaya, Patro Kiran Kumar, Neelapu Bala Chakravarthy, Tadeusiewicz Ryszard, Pławiak Paweł
Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 33, Iss 3, Pp 493-506 (2023)
Obstructive sleep apnea (OSA) is a long-term sleep disorder that causes temporary disruption in breathing while sleeping. Polysomnography (PSG) is the technique for monitoring different signals during the patient’s sleep cycle, including electroenc
Externí odkaz:
https://doaj.org/article/1be191d9570d4df9a24e3a2f18e18b48
Autor:
Yang Dongdong, Li Ying
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The opera “Aleko” is a graduation work composed by Rachmaninoff, for which the opera was born in Russia in the nineteenth century and has a strong literary and artistic value. This study tries to extract the time-frequency melodic characteristics
Externí odkaz:
https://doaj.org/article/c4e1c9c2a28d41c79a569fac85944212
Autor:
Cai Jiandong
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, a music teaching aid is constructed based on the automatic analysis technique of music elements. The auxiliary tool uses constant Q transform and note onset detection technology to process and recognize students’ input audio. The log
Externí odkaz:
https://doaj.org/article/22fe1ea58ad04d7a96c0043eb5a443e0
Publikováno v:
Machines, Vol 12, Iss 6, p 373 (2024)
Timely prediction of bearing faults is essential for minimizing unexpected machine downtime and improving industrial equipment’s operational dependability. The Q transform was utilized for preprocessing the sixty-four vibration signals that corresp
Externí odkaz:
https://doaj.org/article/a513794318f14bc79dae6ef5b893c952
Publikováno v:
IEEE Access, Vol 11, Pp 63081-63091 (2023)
Speech emotion recognition presents a significant challenge within the field of affective computing, requiring the analysis and detection of emotions conveyed through speech signals. However, existing approaches often rely on traditional signal proce
Externí odkaz:
https://doaj.org/article/b566c276e9ac4e459962e27b09f70572
Publikováno v:
Machines, Vol 12, Iss 3, p 179 (2024)
In this paper, a graph convolutional network is constructed and applied for bearing fault diagnosis. Specifically, the constant-Q transform (CQT) is first adopted for spectral analysis of vibration signals, where the frequencies are distributed in th
Externí odkaz:
https://doaj.org/article/3b7959c791ed43f581e827810e9b2707
Multichannel Blind Music Source Separation Using Directivity-Aware MNMF With Harmonicity Constraints
Autor:
Antonio J. Munoz-Montoro, Julio J. Carabias-Orti, Pablo Cabanas-Molero, Francisco J. Canadas-Quesada, Nicolas Ruiz-Reyes
Publikováno v:
IEEE Access, Vol 10, Pp 17781-17795 (2022)
In this paper we present a harmonic constrained Multichannel Non-Negative Matrix Factorization (MNMF) method for the task of blind music source separation. In this model, the mixing filter encodes the spatial information in terms of magnitude and pha
Externí odkaz:
https://doaj.org/article/9a7c976a89304ef688a5656e7e5fb17a
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Akademický článek
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