Abstract
In this paper, a study of the discriminatory capacity of the most representative segments for forensic speaker comparison in Mexican Spanish is presented. The study is based on two corpora in order to assess the discriminatory capacity of the fundamental frequency and the three first vocalic formants acoustic parameters for reading and semi-spontaneous speech. We found that the context /sa/ has 73% of discriminatory capacity to classify speakers using the three first formants of the vowel /a/ with a dynamic analysis. We used several statistical techniques and found that the best methodology for the recognition of patterns consists of using linear regression with a quadratic fitting to reduce the number of predictors to a manageable level and apply discriminant analysis on the reduced set. This result is consistent with previous research data despite the methodology for Mexican Spanish had never been used.
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Notes
- 1.
The full corpus is available on request to the main author.
- 2.
Centro de Ciencias Aplicadas y Desarrollo Tecnológico.
- 3.
Universidad Nacional Autónoma de México.
- 4.
All statistical analyses were performed with R program. Each statistical analysis was programmed in order to reproduce the methodology proposed in this work.
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Authors want to thank Mrs. Josefina Bolado, Head of the Scientific Paper Translation Department, from División de Investigación at Facultad de Medicina, UNAM, for editing the English-language version of this manuscript.
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López-Escobedo, F., Pineda Cortés, L.A. (2017). Discriminatory Capacity of the Most Representative Phonemes in Spanish: An Evaluation for Forensic Voice Comparison. In: Sidorov, G., Herrera-Alcántara, O. (eds) Advances in Computational Intelligence. MICAI 2016. Lecture Notes in Computer Science(), vol 10061. Springer, Cham. https://doi.org/10.1007/978-3-319-62434-1_11
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