Zobrazeno 1 - 10
of 4 780
pro vyhledávání: '"Speaker Verification"'
Publikováno v:
Acoustics, Vol 6, Iss 2, Pp 439-469 (2024)
This paper delves into an in-depth exploration of speaker recognition methodologies, with a primary focus on three pivotal approaches: feature-level fusion, dimension reduction employing principal component analysis (PCA) and independent component an
Externí odkaz:
https://doaj.org/article/4e261b3c28504247a9ec6e21194f8dcc
Akademický článek
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Akademický článek
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Publikováno v:
Dianxin kexue, Vol 40, Pp 63-71 (2024)
Due to the convenience of speech synthesis, synthesized disguised speech poses a great threat to the security of speaker verification systems.In order to further enhance the ability of detecting the camouflage to the speaker verification system, a me
Externí odkaz:
https://doaj.org/article/216103d3695e41288ec9b5ed0c1ddff4
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-14 (2024)
Abstract Claimed identities of speakers can be verified by means of automatic speaker verification (ASV) systems, also known as voice biometric systems. Focusing on security and robustness against spoofing attacks on ASV systems, and observing that t
Externí odkaz:
https://doaj.org/article/76c6fa0cd1de49d1b8b11fb6d2a8e914
Publikováno v:
International Journal of Mathematical, Engineering and Management Sciences, Vol 9, Iss 1, Pp 147-162 (2024)
A speaker verification system models individual speakers using different speech features to improve their robustness. However, redundant features degrade the system's performance. This paper presents Statistically Significant Duration-Independent Mel
Externí odkaz:
https://doaj.org/article/5a52a79806624b7b87c6ce05ea2fb5f0
Autor:
Tsung-Han Tsai, Meng-Jui Chiang
Publikováno v:
IEEE Access, Vol 12, Pp 165482-165496 (2024)
The use of the neural network to recognize a speaker’s identity from their speech sounds has become popular in the last few years. Among these methods, the x-vector extractor, which is based on time-delay neural networks (TDNN), performs better in
Externí odkaz:
https://doaj.org/article/0465200f5a8b4d9ebbc7d4c2ab7883b5
Publikováno v:
Tongxin xuebao, Vol 44, Pp 89-98 (2023)
Aiming at the problem that the lack of structure information among speech signal sample in the front-end acoustic features of speaker verification system, a speaker verification method based on cross-domain attentive feature fusion was proposed.First
Externí odkaz:
https://doaj.org/article/da73c39be81b4dadbb2a233a63d0235e
Autor:
Achintya Kumar Sarkar, Zheng-Hua Tan
Publikováno v:
Acoustics, Vol 5, Iss 3, Pp 693-713 (2023)
Deep representation learning has gained significant momentum in advancing text-dependent speaker verification (TD-SV) systems. When designing deep neural networks (DNN) for extracting bottleneck (BN) features, the key considerations include training
Externí odkaz:
https://doaj.org/article/8b6a8ea0bd814ea8a727fdc561c02042
Publikováno v:
Journal of Intelligent Systems, Vol 32, Iss 1, Pp 588-604 (2023)
As an important identity authentication method, speaker verification (SV) has been widely used in many domains, e.g., mobile financials. At the same time, the existing SV systems are insecure under replay spoofing attacks. Toward a more secure and st
Externí odkaz:
https://doaj.org/article/72cdd65131844af986d3a7966a0fd643