| Literature DB >> 25190403 |
Shrikanth Narayanan1, Asterios Toutios1, Vikram Ramanarayanan1, Adam Lammert1, Jangwon Kim1, Sungbok Lee1, Krishna Nayak2, Yoon-Chul Kim2, Yinghua Zhu2, Louis Goldstein3, Dani Byrd3, Erik Bresch4, Prasanta Ghosh5, Athanasios Katsamanis6, Michael Proctor7.
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.Mesh:
Year: 2014 PMID: 25190403 PMCID: PMC4165284 DOI: 10.1121/1.4890284
Source DB: PubMed Journal: J Acoust Soc Am ISSN: 0001-4966 Impact factor: 1.840