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Kishore S Prahallad
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{{Infobox Professor | education = Ph.D | occupation = Professor | Institute = IIIT-H | specialization = Speech systems }} ==Kishore S Prahallad == '''Dr. Kishore S Prahallad''' has joined as an [[associate professor]] at the International Institute of Information Technology [[IIIT Hyderabad]]. He started the speech activities in Language Technologies Research Center (LTRC) at IIIT-H in March 2001 and led a team of researcher scholars and students to build speech systems (on mobile devices) specifically in Indian languages. He served as a [[research scientist]] from 2001-2008, senior research scientist from 2008-2010, assistant professor from 2010-2013 and as an associated professor from 2013-2014.<ref>{{Cite web |title=Faculty profile IIIT H |url=https://www.iiit.ac.in/faculty/kishore-s-prahallad/}}</ref> == Education == Prof Kishore Prahallad received the [[B.E.]] degree from the [[Deccan College of Engineering and Technology]], [[Osmania University]], Hyderabad, India, in 1998, the [[M.S.]] (by Research) degree from the [[Indian Institute of Technology Madras]], in 2001 and the [[Ph.D.]] degree from the Language Technologies Institute, School of Computer Science, Carnegie Mellon University (CMU), Pittsburgh, USA, in 2010.<ref>{{Cite web |title=IEEE Xplore eductional details |url=https://ieeexplore.ieee.org/author/37394192800}}</ref> ==Research & Publications== His research interests are Speech systems including [[text-to-speech]], voice conversion, [[speaker recognition]] and [[text processing]] for Indian languages.<ref>{{Cite web |title=Google sites information |url=https://sites.google.com/site/kishoreprahallad/kishore-s-prahallad-lecturesreports}}</ref> # Unit-selection text-to-speech synthesis based on predicted concatenation parameters in 2018.<ref>{{Cite web |title=Unit-selection text-to-speech synthesis based on predicted concatenation parameters |url=https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=3-8i_54AAAAJ&citation_for_view=3-8i_54AAAAJ:sfnaS5RM6jYC}}</ref> # Siri on-device deep learning-guided unit selection text-to-speech system in 2017.<ref>{{Cite web |title=Siri on-device deep learning-guided unit selection text-to-speech system |url=https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=3-8i_54AAAAJ&citation_for_view=3-8i_54AAAAJ:iyewoVqAXLQC}}</ref> # A common attribute based unified HTS framework for speech synthesis in Indian languages in 2013.<ref>{{Cite web |title=A common attribute based unified HTS framework for speech synthesis in Indian languages |url=https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=3-8i_54AAAAJ&citation_for_view=3-8i_54AAAAJ:yY3RG6sOEgwC}}</ref> # Query-by-example spoken term detection using frequency domain linear prediction and non-segmental dynamic time warping in 2014.<ref>{{Cite web |title=Query-by-example spoken term detection using frequency domain linear prediction and non-segmental dynamic time warping |url=https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=3-8i_54AAAAJ&citation_for_view=3-8i_54AAAAJ:jtI9f0ekYq0C}}</ref> # A syllable-based framework for unit selection synthesis in 13 Indian languages in 2013.<ref>{{Cite web |title=A syllable-based framework for unit selection synthesis in 13 Indian languages |url=https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=3-8i_54AAAAJ&citation_for_view=3-8i_54AAAAJ:sJPMR1oEGYQC}}</ref> # Segmentation of monologues in audio books for building synthetic voices in 2010.<ref>{{Cite web |title=Segmentation of monologues in audio books for building synthetic voices |url=https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=3-8i_54AAAAJ&citation_for_view=3-8i_54AAAAJ:eQOLeE2rZwMC}}</ref> # Text processing for text-to-speech systems in Indian languages in 2007.<ref>{{Cite web |title=Text processing for text-to-speech systems in Indian languages. |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=MfzQyP8AAAAJ&cstart=20&pagesize=80&citation_for_view=MfzQyP8AAAAJ:BwyfMAYsbu0C}}</ref> # Fundamental frequency generation for whisper-to-audible speech conversion in 2014.<ref>{{Cite web |title=Fundamental frequency generation for whisper-to-audible speech conversion |url=https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=3-8i_54AAAAJ&cstart=20&pagesize=80&citation_for_view=3-8i_54AAAAJ:z8nqeaKD1nsC}}</ref> # Online text-independent speaker verification system using autoassociative neural network models in 2001.<ref>{{Cite web |title=Online text-independent speaker verification system using autoassociative neural network models |url=https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=3-8i_54AAAAJ&cstart=20&pagesize=80&citation_for_view=3-8i_54AAAAJ:BqipwSGYUEgC}}</ref> # Speaker verification: Minimizing the channel effects using autoassociative neural network models in 2000.<ref>{{Cite web |title=Speaker verification: Minimizing the channel effects using autoassociative neural network models |url=https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=3-8i_54AAAAJ&cstart=20&pagesize=80&citation_for_view=3-8i_54AAAAJ:maZDTaKrznsC}}</ref> == References == {{refList}}
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