USC-EMO-MRI: An emotional speech production database

USC-EMO-MRI is an emotional speech production database which includes real-time magnetic resonance imaging data with synchronized speech audio from five male and five female actors, each producing a passage and a set of sentences in multiple repetitions, while enacting four different target emotions (neutral, happy, angry, sad). The database includes emotion quality evaluation from at least ten listeners for each speaker's data. Click here for an example video. The database and companion software tools are freely available to the research community.

A description of the database is given in the following article:

Jangwon Kim, Asterios Toutios, Yoon-Chul Kim, Yinghua Zhu, Sungbok Lee and Shrikanth Narayanan, USC-EMO-MRI corpus: An emotional speech production database recorded by real-time magnetic resonance imaging, in 10th International Seminar on Speech Production (ISSP), Cologne, Germany, 2014, pages 226-229.

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