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VoCMex: a voice corpus in Mexican Spanish for research in speaker recognition

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Abstract

Voice corpus is an essential element for automatic speaker recognition systems. In order for a corpus to be useful in recognition tasks, it must contain recordings from several speakers pronouncing phonetically balanced utterances; recorded through several sessions using different recording media. This work shows the methodology, development and evaluation of a Mexican Spanish Corpus referred as to VoCMex, which is aimed to support research on speaker recognition. It contains telephone and microphone recordings of 20 male and 13 female speakers, obtained through three sessions. In order to validate the usefulness of the corpus, a speaker identification system was developed and the recognition results were similar compared against those obtained using a known voice corpus.

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Acknowledgements

The authors would like to thank the Universidad Autónoma de Baja California (Autonomous University of Baja California), who financed the development of this work through the program 1899 of the 11th Internal announcement for research funding.

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Authors and Affiliations

  1. Facultad de Ingeniería Mexicali, Universidad Autónoma de Baja California (UABC), Mexicali, BC, México

    José-Martín Olguín-Espinoza & Mónica-Livier Mendiola-Cárdenas

  2. Departamento de Posgrado, Instituto Tecnológico de Mexicali, Mexicali, BC, México

    Pedro Mayorga-Ortiz

  3. Departamento de Ciencias de la Computación, CICESE, Ensenada, BC, México

    Hugo Hidalgo-Silva

  4. Facultad de Ciencias, UABC, Ensenada, BC, México

    Luis Vizcarra-Corral

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  1. José-Martín Olguín-Espinoza
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  2. Pedro Mayorga-Ortiz
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  3. Hugo Hidalgo-Silva
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  4. Luis Vizcarra-Corral
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  5. Mónica-Livier Mendiola-Cárdenas
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Correspondence to José-Martín Olguín-Espinoza.

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Olguín-Espinoza, JM., Mayorga-Ortiz, P., Hidalgo-Silva, H. et al. VoCMex: a voice corpus in Mexican Spanish for research in speaker recognition. Int J Speech Technol 16, 295–302 (2013). https://doi.org/10.1007/s10772-012-9183-z

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  • DOI: https://doi.org/10.1007/s10772-012-9183-z

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