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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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