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Keywords
(2)
Speaker Recognition
Vocal Tract
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Robust Speaker Recognition Using Denoised Vocal Source and Vocal Tract Features
Robust Speaker Recognition Using Denoised Vocal Source and Vocal Tract Features,10.1109/TASL.2010.2045800,IEEE Transactions on Audio, Speech & Languag
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Robust Speaker Recognition Using Denoised Vocal Source and Vocal Tract Features
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Citations: 2
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Ning Wang
,
P. C. Ching
,
Nengheng Zheng
,
Tan Lee
Journal:
IEEE Transactions on Audio, Speech & Language Processing - TASLP
, vol. 19, no. 1, pp. 196-205, 2011
DOI:
10.1109/TASL.2010.2045800
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Citation Context
(2)
...An important thing here is that most of the conventional techniques to improve the accuracy of speaker recognition have relied on speech enhancement techniques such as SS [2] [
6
]...
Naoto Yamasaki
,
et al.
Accuracy improvement of speaker authentication in noisy environments u...
...2.1 Mel-Frequency Cepstral Coefficients (MFCCs) The Mel-Frequency Cepstral Coefficients (MFCCs) are the dominant features widely used for speech processing applications such as identification, classification and recognition [
22
]...
A. Muthamizh Selvan
,
et al.
Word Classification Using Neural Network
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Citations
(2)
Accuracy improvement of speaker authentication in noisy environments using bone-conducted speech
Naoto Yamasaki
,
Tetsuya Shimamura
Conference:
Midwest Symposium on Circuits and Systems - MWSCAS
, pp. 197-200, 2010
Word Classification Using Neural Network
A. Muthamizh Selvan
,
R. Rajesh