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

Shrikanth Narayanan, Asterios Toutios*, Vikram Ramanarayanan, Adam Lammert, Jangwon Kim, Sungbok Lee, Krishna Nayak, Yoon Chul Kim, Yinghua Zhu, Louis Goldstein, Dani Byrd, Erik Bresch, Prasanta Ghosh, Athanasios Katsamanis, Michael Proctor

*Corresponding author for this work

Research output: Contribution to journalReview article

71 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1307-1311
Number of pages5
JournalJournal of the Acoustical Society of America
Volume136
Issue number3
DOIs
Publication statusPublished - 1 Sep 2014

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