Abstract
The biometric voice signature may be derived from voice as a whole, or from the separate vocal tract and glottal source after inverse filtering extraction. This last approach has been used by the authors in early work, where it has been shown that the biometric signature obtained from the glottal source provides a good description of speaker’s characteristics as gender or age. In the present work more accurate estimations of the singularities in the power spectral density of the glottal source are obtained using an adaptive version of the inverse filtering to carefully follow the spectral changes in continuous speech. Therefore the resulting biometric signature gives a better description of intra-speaker variability. Typical male and female samples chosen from a database of 100 normal speakers are used to determine certain gender specific patterns useful in pathology treatment availing. The low intra-speaker variability present in the biometric signature makes it suitable for speaker identification applications as well as for pathology detection and other fields of speech characterization.
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Gómez, P. et al. (2007). Estimating the Dispersion of the Biometric Glottal Signature in Continuous Speech. In: Chetouani, M., Hussain, A., Gas, B., Milgram, M., Zarader, JL. (eds) Advances in Nonlinear Speech Processing. NOLISP 2007. Lecture Notes in Computer Science(), vol 4885. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77347-4_22
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DOI: https://doi.org/10.1007/978-3-540-77347-4_22
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