Abstract:
The biometric signature derived from the estimation of the power spectral density singularities of a speaker's glottal source is described in the present work. This consi...Show MoreMetadata
Abstract:
The biometric signature derived from the estimation of the power spectral density singularities of a speaker's glottal source is described in the present work. This consists in the collection of peak-trough profiles found in the spectral density, as related to the biomechanics of the vocal folds. Samples of parameter estimations from a set of 100 normophonic (pathology-free) speakers are produced. Mapping the set of speaker's samples to a manifold defined by Principal Component Analysis and clustering them by k-means in terms of the most relevant principal components shows the separation of speakers by gender. This means that the proposed signature conveys relevant speaker's meta-information, which may be useful in security and forensic applications for which contextual side information is considered relevant.
Published in: 2008 16th European Signal Processing Conference
Date of Conference: 25-29 August 2008
Date Added to IEEE Xplore: 06 April 2015
Print ISSN: 2219-5491
Conference Location: Lausanne