Results 281 to 290 of about 383,886 (331)

Intonation and Speaker Identification

Language and Speech, 1978
The work described investigated the ability of listeners to identify familiar speakers solely on the basis of suprasegmental laryngeal information. The results of perceptual experiments using both natural stimuli, and synthetic stimuli with manipulations in the time and frequency domains, show that mean fundamental frequency and fundamental-frequency ...
E, Abberton, A J, Fourcin
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Hierarchical speaker identification using speaker clustering

International Conference on Natural Language Processing and Knowledge Engineering, 2003. Proceedings. 2003, 2004
We explore an approach to speaker identification called speaker clustering in the GMM-based speaker recognition system in order to reduce the computational complexity. The ISODATA algorithm adapted for our purpose works well when we cluster speakers whose acoustic characteristics are similar to a distance measure.
null Bing Sun, null Wenju Li, null Qiuhai Zhong   +2 more
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Emarati speaker identification

2014 12th International Conference on Signal Processing (ICSP), 2014
In this work we focus on Emarati speaker identification systems in neutral talking environments based on each of Vector Quantization (VQ), Gaussian Mixture Models (GMMs), and Hidden Markov Models (HMMs) as classifiers. These systems have been tested on our collected Emarati speech database which is composed of 25 male and 25 female Emarati speakers ...
Ismail Shahin, Mohammed Nasser Ba-Hutair
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Speaker Identification Utilizing Noncontemporary Speech

Journal of Forensic Sciences, 2001
Abstract The noncontemporariness of speech is important to both of the two general approaches to speaker identification. Earwitness identification is one of them; in that instance, the time at which the identification is made is noncontemporary. A substantial amount of research has been carried out on this relationship and it now is well
H, Hollien, R, Schwartz
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Earwitness speaker identification.

Psychology, Public Policy, and Law, 1995
The scientific basis of speaker identification by human listeners and its generalization to the procedures and practices of the police and to the decision making of the courts have been both neglected and misunderstood relative to that of face and photo identification.
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Language Independent Speaker Identification

2006 IEEE International Conference on Industrial Technology, 2006
Automatic speaker identification (ASI) and Automatic speaker verification (ASV) are probably the most natural and economical methods for solving the problems of unauthorized use of computer and communications systems and multilevel access control. This paper presents a method for speaker identification, independent of language spoken.
Sukumar Chougule, Priti P Rege
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Identification of Speakers' Occupations

Perceptual and Motor Skills, 1982
To determine if listeners can accurately identify speakers' occupations from recorded speech samples, 32 listeners judged the recordings of 14 speakers. For all but 2 speakers, listeners' correct judgments did not exceed chance-guessing levels. Implications of these findings are discussed.
Norman J. Lass, Jeanne N. Thompson, Patricia A. Kimmel   +2 more
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An Approach to Speaker Identification

Journal of Forensic Sciences, 2016
AbstractThis presentation will provide standards upon which any attempts to meet the challenge of identifying speakers by voice should be based. It is organized into a model based on (i) application of a rigorous research program validating the system, (ii) an upgrading of the organization of theSIarea, and (iii) exploitation of new technology.
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Speaker Identification in a Multi-speaker Environment

2017
Human beings are capable of performing unfathomable tasks. A human being is able to focus on a single person’s voice in an environment of simultaneous conversations. We have tried to emulate this particular skill through an artificial intelligence system.
Manthan Thakker, Shivangi Vyas, Prachi Ved, S. Shanthi Therese   +3 more
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TDNN based speaker identification

1993 (25th) Southeastern Symposium on System Theory, 2002
A spatio-temporal network the time delay neural network (TDNN) is considered. Because the TDNN is time-shift invariant, input patterns do not need to be aligned. Also, the TDNN uses temporal information in its mapping process. Experimental results show that a TDNN-based speaker identification outperforms a weighted-distance-measure-based speaker ...
G.L. Berger, J.N. Gowdy
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