Abstract
SUBESCO is an audio-only emotional speech corpus for Bangla language. The total duration of the corpus is in excess of 7 hours containing 7000 utterances, and it is the largest emotional speech corpus available for this language. Twenty native speakers participated in the gender-balanced set, each recording of 10 sentences simulating seven targeted emotions. Fifty university students participated in the evaluation of this corpus. Each audio clip of this corpus, except those of Disgust emotion, was validated four times by male and female raters. Raw hit rates and unbiased rates were calculated producing scores above chance level of responses. Overall recognition rate was reported to be above 70% for human perception tests. Kappa statistics and intra-class correlation coefficient scores indicated high-level of inter-rater reliability and consistency of this corpus evaluation. SUBESCO is an Open Access database, licensed under Creative Common Attribution 4.0 International, and can be downloaded free of charge from the web link: https://doi.org/10.5281/zenodo.4526477.
Funder
Higher Education Quality Enhancement Project for the Development of MultiPlatform Speech and Language Processing Software for Bangla
Shahjalal University of Science and Technology (SUST) Research Center
Publisher
Public Library of Science (PLoS)
Reference55 articles.
1. Emotion inferences from vocal expression correlate across languages and cultures;KR Scherer;Journal of Cross-cultural psychology,2001
2. Comparison of emotion perception among different cultures;J Dang;Acoustical science and technology,2010
3. Emotional speech: Towards a new generation of databases;E Douglas-Cowie;Speech communication,2003
4. Neumann M, et al. Cross-lingual and multilingual speech emotion recognition on english and french. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE; 2018. p. 5769–5773.
5. Parry J, Palaz D, Clarke G, Lecomte P, Mead R, Berger M, et al. Analysis of Deep Learning Architectures for Cross-Corpus Speech Emotion Recognition. In: INTERSPEECH; 2019. p. 1656–1660.
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