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Abstract: In this paper we study the effectiveness of the features extracted from the source and system components of speech production process for the purpose of speaker recognition. The source and system components are derived using linear prediction (LP) analysis of short segments of speech. The source component is the LP residual derived from the signal, and the system component is a set of weighted linear prediction cepstral coefficients. The features are captured implicitly by a feedforward... (Update)
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.... feedfor ward neural networks performing an identity mapping of the input space [16] AANN models were shown to capture the source features [17]. For capturing the speaker specific source information present in the LP residual signal, a five layer AANN model with the...
...A tanhx is used for the nonlinear activation function. The performance of the network does not depend critically on the structure of the network [18]. Compression Input Layer Layer Output Layer Fig. 3. Structure of AANN Model used for capturing speakerspecific source information...
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2: Speaker recognition -- identifying people by their voices (context) - Doddington - 1986
2: Speaker recognition (context) - O'Shaughnessy - 1986
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BibTeX entry: (Update)
B. Yegnanarayana, K. Sharat Reddy, and S. P. Kishore, "Source and system features for speaker recognition using AANN models," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, 2001. http://citeseer.ist.psu.edu/article/yegnanarayana01source.html More
@misc{ yegnanarayana01source,
author = "B. Yegnanarayana and K. Reddy and S. Kishore",
title = "Source and system features for speaker recognition using AANN models",
text = "B. Yegnanarayana, K. Sharat Reddy, and S. P. Kishore, Source and system
features for speaker recognition using AANN models, in Proc. IEEE Int. Conf.
Acoust., Speech, Signal Processing, 2001.",
year = "2001",
url = "citeseer.ist.psu.edu/article/yegnanarayana01source.html" }
Citations (may not include all citations):653 Fundamentals' of Speech Recognition (context) - Rabiner, Juang - 1993
137 Linear prediction: A tutorial review (context) - Makhoul - 1975
100 Cepstral analysis technique for automatic speaker verificati.. (context) - Furui - 1981
99 Speaker identification and verification using gaussian mixtu.. (context) - Reynolds - 1995
4 Analysis of autoassociative mapping neural networks - Ikbal, Misra et al. - 1999
2 Speaker verification: Minimizing the channel effects using a.. - Kishore, Yegnanarayana - 2000
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