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

摘要

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.