Abstract

USC-TIMIT is a speech production database under ongoing development, which currently includes real-time magnetic resonance imaging data from five male and five female speakers of American English, and electromagnetic articulography data from five of these speakers. The two modalities were recorded in two independent sessions while the subjects produced the same 460 sentence corpus. In both cases acoustics were recorded in parallel with the articulatory data, and phonemically transcribed. The database, and companion techniques for reconstruction, processing and linguistic analysis, are freely available to the research community.

Date

2013

Authors

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, Athanasios Katsamanis, Michael Proctor

Publisher

USC, Tech. Rep., 2013.[Online] http://sail. usc. edu/span/usc-timit/usctimit_report. pdf