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1
Utterance partitioning for speaker recognition: an experimental review and analysis with new findings under GMM-SVM framework
In: ISSN: 1381-2416 ; EISSN: 1572-8110 ; International Journal of Speech Technology ; https://hal.archives-ouvertes.fr/hal-03232723 ; International Journal of Speech Technology, Springer Verlag, In press, ⟨10.1007/s10772-021-09862-8⟩ (2021)
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2
Signal and acoustic modeling for speech and communication disorders
Kulshreshtha, Manisha (Herausgeber); Patil, Hemant A. (Herausgeber); Neustein, Amy (Herausgeber). - Boston : De Gruyter, 2019
BLLDB
UB Frankfurt Linguistik
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3
Quality assessment of voice converted speech using articulatory features ...
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4
Vocal Tract Length Normalization Features for Audio Search
Madhavi, Maulik C; Sharma, Shubham; Patil, Hemant A. - : SPRINGER-VERLAG BERLIN, 2015
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5
Static and dynamic information derived from source and system features for person recognition from humming
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 15 (2012) 3, 393-406
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OLC Linguistik
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6
Forensic Speaker Recognition: Law Enforcement and Counter-Terrorism
Neustein, Amy; Patil, Hemant. - : Springer, 2012
Abstract: Forensic Speaker Recognition: Law Enforcement and Counter-Terrorism is an anthology of the research findings of 35 speaker recognition experts from around the world. The volume provides a multidimensional view of the complex science involved in determining whether a suspect’s voice truly matches forensic speech samples, collected by law enforcement and counter-terrorism agencies, that are associated with the commission of a terrorist act or other crimes. While addressing such topics as the challenges of forensic case work, handling speech signal degradation, analyzing features of speaker recognition to optimize voice verification system performance, and designing voice applications that meet the practical needs of law enforcement and counter-terrorism agencies, this material all sounds a common theme: how the rigors of forensic utility are demanding new levels of excellence in all aspects of speaker recognition. The contributors are among the most eminent scientists in speech engineering and signal processing; and their work represents such diverse countries as Switzerland, Sweden, Italy, France, Japan, India and the United States. Forensic Speaker Recognition is a useful book for forensic speech scientists, speech signal processing experts, speech system developers, criminal prosecutors and counter-terrorism intelligence officers and agents.
Keyword: Engineering
URL: https://doi.org/10.1007/978-1-4614-0263-3
http://cds.cern.ch/record/1503699
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7
Effectiveness of Teager energy operator for epoch detection from speech signals
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 14 (2011) 4, 321-337
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OLC Linguistik
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8
Development of speech corpora for speaker recognition research and evaluation in Indian languages
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 11 (2008) 1, 17-32
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OLC Linguistik
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9
LP spectra vs. Mel spectra for identification of professional mimics in Indian languages
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 11 (2008) 1, 1-16
BLLDB
OLC Linguistik
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10
Acoustic analysis of pathologies : from infancy to young adulthood
Neustein, Amy (HerausgeberIn); Patil, Hemant A. (HerausgeberIn)
IDS Mannheim
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