Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Thomas Fang Zheng"'
Publikováno v:
IEEE Access, Vol 11, Pp 141251-141260 (2023)
In the Emotion Recognition in Conversations (ERC) task, extracting emotional cues from the context is an effective strategy for improving model performance. However, current research has two evident limitations: firstly, irrelevant context informatio
Externí odkaz:
https://doaj.org/article/4c2a97b8b9374f49968c09456b74a675
Publikováno v:
IEEE Access, Vol 7, Pp 27874-27882 (2019)
Even though speaker recognition has gained significant progress in recent years, its performance is known to be deteriorated severely with the existence of strong background noises. Inspired by a recently proposed clean-frame selection approach, this
Externí odkaz:
https://doaj.org/article/2159aea04f244aa080237f19535fa282
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-15
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
Handbook of Biometric Anti-Spoofing ISBN: 9789811952876
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0d030d713b8174f03fdd0b2cd8fc86a
https://doi.org/10.1007/978-981-19-5288-3_14
https://doi.org/10.1007/978-981-19-5288-3_14
Publikováno v:
2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).
Publikováno v:
IEEE Transactions on Information Forensics and Security. 16:824-837
The technique of transforming voices in order to hide the real identity of a speaker is called voice disguise, among which automatic voice disguise (AVD) by modifying the spectral and temporal characteristics of voices with miscellaneous algorithms a
Publikováno v:
APSIPA Transactions on Signal and Information Processing. 11
Publikováno v:
Interspeech 2021.
Publikováno v:
IEEE Access, Vol 7, Pp 27874-27882 (2019)
Even though speaker recognition has gained significant progress in recent years, its performance is known to be deteriorated severely with the existence of strong background noises. Inspired by a recently proposed clean-frame selection approach, this