IDEAS home Printed from https://ideas.repec.org/a/gam/jdataj/v6y2021i12p130-d696397.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2306-5729/6/12/130/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2306-5729/6/12/130/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Víctor Arufe-Giráldez & Félix Zurita-Ortega & Rosario Padial-Ruz & Manuel Castro-Sánchez, 2019. "Association between Level of Empathy, Attitude towards Physical Education and Victimization in Adolescents: A Multi-Group Structural Equation Analysis," IJERPH, MDPI, vol. 16(13), pages 1-13, July.
    2. Pablo Luna & Javier Cejudo & José A. Piqueras & Débora Rodrigo-Ruiz & Miriam Bajo & Juan-Carlos Pérez-González, 2021. "Impact of the MooN Physical Education Program on the Socio-Emotional Competencies of Preadolescents," IJERPH, MDPI, vol. 18(15), pages 1-17, July.
    3. Faheem Aslam & Tahir Mumtaz Awan & Jabir Hussain Syed & Aisha Kashif & Mahwish Parveen, 2020. "Sentiments and emotions evoked by news headlines of coronavirus disease (COVID-19) outbreak," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-9, December.
    4. Agnès Ros-Morente & Miriam Farré & Carla Quesada-Pallarès & Gemma Filella, 2022. "Evaluation of Happy Sport, an Emotional Education Program for Assertive Conflict Resolution in Sports," IJERPH, MDPI, vol. 19(5), pages 1-11, February.
    5. Sergio Rivera-Pérez & Benito León-del-Barco & Javier Fernandez-Rio & Jerónimo J. González-Bernal & Damián Iglesias Gallego, 2020. "Linking Cooperative Learning and Emotional Intelligence in Physical Education: Transition across School Stages," IJERPH, MDPI, vol. 17(14), pages 1-11, July.
    6. Javier Conde-Pipó & Eduardo Melguizo-Ibáñez & Miguel Mariscal-Arcas & Félix Zurita-Ortega & Jose Luis Ubago-Jiménez & Irwin Ramírez-Granizo & Gabriel González-Valero, 2021. "Physical Self-Concept Changes in Adults and Older Adults: Influence of Emotional Intelligence, Intrinsic Motivation and Sports Habits," IJERPH, MDPI, vol. 18(4), pages 1-15, February.
    7. Pol van Rijn & Pauline Larrouy-Maestri, 2023. "Modelling individual and cross-cultural variation in the mapping of emotions to speech prosody," Nature Human Behaviour, Nature, vol. 7(3), pages 386-396, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jdataj:v:6:y:2021:i:12:p:130-:d:696397. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.