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Mexican Emotional Speech Database Based on Semantic, Frequency, Familiarity, Concreteness, and Cultural Shaping of Affective Prosody

Author

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  • Mathilde Marie Duville

    (Escuela de Ingeniería y Ciencias, Tecnologico de Monterrey, Ave. Eugenio Garza Sada 2501, Monterrey 64849, Mexico)

  • Luz María Alonso-Valerdi

    (Escuela de Ingeniería y Ciencias, Tecnologico de Monterrey, Ave. Eugenio Garza Sada 2501, Monterrey 64849, Mexico)

  • David I. Ibarra-Zarate

    (Escuela de Ingeniería y Ciencias, Tecnologico de Monterrey, Ave. Eugenio Garza Sada 2501, Monterrey 64849, Mexico)

Abstract

In this paper, the Mexican Emotional Speech Database (MESD) that contains single-word emotional utterances for anger, disgust, fear, happiness, neutral and sadness with adult (male and female) and child voices is described. To validate the emotional prosody of the uttered words, a cubic Support Vector Machines classifier was trained on the basis of prosodic, spectral and voice quality features for each case study: (1) male adult, (2) female adult and (3) child. In addition, cultural, semantic, and linguistic shaping of emotional expression was assessed by statistical analysis. This study was registered at BioMed Central and is part of the implementation of a published study protocol. Mean emotional classification accuracies yielded 93.3%, 89.4% and 83.3% for male, female and child utterances respectively. Statistical analysis emphasized the shaping of emotional prosodies by semantic and linguistic features. A cultural variation in emotional expression was highlighted by comparing the MESD with the INTERFACE for Castilian Spanish database. The MESD provides reliable content for linguistic emotional prosody shaped by the Mexican cultural environment. In order to facilitate further investigations, a corpus controlled for linguistic features and emotional semantics, as well as one containing words repeated across voices and emotions are provided. The MESD is made freely available.

Suggested Citation

  • Mathilde Marie Duville & Luz María Alonso-Valerdi & David I. Ibarra-Zarate, 2021. "Mexican Emotional Speech Database Based on Semantic, Frequency, Familiarity, Concreteness, and Cultural Shaping of Affective Prosody," Data, MDPI, vol. 6(12), pages 1-34, December.
    • Handle: RePEc:gam:jdataj:v:6:y:2021:i:12:p:130-:d:696397
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    References listed on IDEAS

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    1. Diana Amado-Alonso & Benito León-del-Barco & Santiago Mendo-Lázaro & Pedro A. Sánchez-Miguel & Damián Iglesias Gallego, 2019. "Emotional Intelligence and the Practice of Organized Physical-Sport Activity in Children," Sustainability, MDPI, vol. 11(6), pages 1-11, March.
    2. Andoni Arruti & Idoia Cearreta & Aitor Álvarez & Elena Lazkano & Basilio Sierra, 2014. "Feature Selection for Speech Emotion Recognition in Spanish and Basque: On the Use of Machine Learning to Improve Human-Computer Interaction," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-23, October.
    3. Alan S. Cowen & Petri Laukka & Hillary Anger Elfenbein & Runjing Liu & Dacher Keltner, 2019. "The primacy of categories in the recognition of 12 emotions in speech prosody across two cultures," Nature Human Behaviour, Nature, vol. 3(4), pages 369-382, April.
    4. Adi Lausen & Kurt Hammerschmidt, 2020. "Emotion recognition and confidence ratings predicted by vocal stimulus type and prosodic parameters," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-17, December.
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    1. Anton Matveev & Yuri Matveev & Olga Frolova & Aleksandr Nikolaev & Elena Lyakso, 2023. "A Neural Network Architecture for Children’s Audio–Visual Emotion Recognition," Mathematics, MDPI, vol. 11(22), pages 1-17, November.

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