Abstract
Automatic Speaker Recognition techniques are increasing the use of the speaker’s voice to control access to personalized telephonic services. This paper describes the use of vector quantization as a feature matching method, in an automatic speaker recognition system, evaluated with speech samples from a SALA Spanish Venezuelan database for fixed telephone network. Results obtained reflect a good performance of the method in a text independent job in the context of sequences of digits.
Keywords
- Speaker Recognition
- Speaker Verification
- Speaker Identification
- Acoustic Vector
- Cepstral Feature
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References
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© 2005 Springer-Verlag Berlin Heidelberg
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de Lara, J.R.C. (2005). A Method of Automatic Speaker Recognition Using Cepstral Features and Vectorial Quantization. In: Sanfeliu, A., Cortés, M.L. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2005. Lecture Notes in Computer Science, vol 3773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11578079_16
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DOI: https://doi.org/10.1007/11578079_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29850-2
Online ISBN: 978-3-540-32242-9
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