Real-time magnetic resonance imaging and electromagnetic articulography database for speech production research (TC)


Autoria(s): 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
Data(s)

2014

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.iisc.ernet.in/50172/1/jou_aco_soc_ame_136-3_1307_2014.pdf

Narayanan, Shrikanth and Toutios, Asterios and Ramanarayanan, Vikram and Lammert, Adam and Kim, Jangwon and Lee, Sungbok and Nayak, Krishna and Kim, Yoon-Chul and Zhu, Yinghua and Goldstein, Louis and Byrd, Dani and Bresch, Erik and Ghosh, Prasanta and Katsamanis, Athanasios and Proctor, Michael (2014) Real-time magnetic resonance imaging and electromagnetic articulography database for speech production research (TC). In: JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 136 (3). pp. 1307-1311.

Publicador

ACOUSTICAL SOC AMER AMER INST PHYSICS

Relação

http://dx.doi.org/10.1121/1.4890284

http://eprints.iisc.ernet.in/50172/

Palavras-Chave #Electrical Engineering
Tipo

Journal Article

PeerReviewed