USC-TIMIT: A database of multimodal speech production data
| 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, Prasanta Ghosh, Athanasios Katsamanis, Michael Proctor |
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| Updated: | Wed 03 September 2014 |
| Source: | https://sail.usc.edu/span/usc-timit/ |
| Type: | articulatory database |
| Languages: | english |
| Keywords: | speech-production, MRI, real-time-MRI, electromagnetic-articulography, TIMIT |
| Open Access: | yes |
| License: | CC |
| Publications: | Narayanan et al. (2014) |
| Citation: | Narayanan, S., Toutios, A., Ramanarayanan, V., Lammert, A., Kim, J., Lee, S., Nayak, K., Kim, Y-C., Zhu, Y., Goldstein, L., Byrd, D., Bresch, E., Ghosh, P., Katsamanis, A., & Proctor, M. (2014). Real-time magnetic resonance imaging and electromagnetic articulography database for speech production research (TC). Journal of the Acoustical Society of America, 136(3), 1307-1311. |
| Summary: | USC-TIMIT is a database of speech production data 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 four 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. The database, and companion software tools, are freely available to the research community. |