AHUMADA: A large speech corpus in Spanish for speaker characterization and identification
Speech Communication - Speaker recognition and its commercial and forensic applications
POLYCOST: A telephone-speech database for speaker recognition
Speech Communication - Speaker recognition and its commercial and forensic applications
Research and development of speech technology & applications for Mexican Spanish at the Tlatoa group
CHI '01 Extended Abstracts on Human Factors in Computing Systems
Computational Statistics Handbook with MATLAB, Second Edition (Chapman & Hall/Crc Computer Science & Data Analysis)
Improving a GMM speaker verification system by phonetic weighting
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01
Corpora for the evaluation of speaker recognition systems
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
Behavior of a Bayesian adaptation method for incremental enrollment in speaker verification
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods
Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods
The Corpus DIMEx100: transcription and evaluation
Language Resources and Evaluation
State-of-the-Art Performance in Text-Independent Speaker Verification Through Open-Source Software
IEEE Transactions on Audio, Speech, and Language Processing
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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.