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Vocal tract shaping of emotional speech
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In: Comput Speech Lang (2020)
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Emotional speech production: from data to computational models and applications ...
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Kim, Jangwon. - : University of Southern California Digital Library (USC.DL), 2015
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Speaker verification based on the fusion of speech acoustics and inverted articulatory signals
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Speaker verification based on the fusion of speech acoustics and inverted articulatory signals☆
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Real-time magnetic resonance imaging and electromagnetic articulography database for speech production research (TC)
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Real-time magnetic resonance imaging and electromagnetic articulography database for speech production research (TC)
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Narayanan, Shrikanth; Toutios, Asterios; Ramanarayanan, Vikram; Lammert, Adam; Kim, Jangwon; Lee, Sungbok; Nayak, Krishna; Kim, Yoon-Chul; Zhu, Yinghua; Goldstein, Louis; Byrd, Dani; Bresch, Erik; Ghosh, Prasanta; Katsamanis, Athanasios; Proctor, Michael. - : ACOUSTICAL SOC AMER AMER INST PHYSICS, 2014
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Abstract:
USC-TIMIT is an extensive database of multimodal speech production data, developed to complement existing resources available to the speech research community and with the intention of being continuously refined and augmented. The database currently includes real-time magnetic resonance imaging data from five male and five female speakers of American English. Electromagnetic articulography data have also been presently collected from four of these speakers. The two modalities were recorded in two independent sessions while the subjects produced the same 460 sentence corpus used previously in the MOCHA-TIMIT database. In both cases the audio signal was recorded and synchronized with the articulatory data. The database and companion software are freely available to the research community. (C) 2014 Acoustical Society of America.
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Keyword:
Electrical Engineering
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URL: http://eprints.iisc.ernet.in/50172/
http://eprints.iisc.ernet.in/50172/1/jou_aco_soc_ame_136-3_1307_2014.pdf
https://doi.org/10.1121/1.4890284
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Real-time magnetic resonance imaging and electromagnetic articulography database for speech production research (TC)
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Toward automatic vocal tract area function estimation from accelerated three-dimensional magnetic resonance imaging
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