13th Annual Conference of the International Speech Communication Association

Portland, OR, USA
September 9-13, 2012

Speaker Discrimination Ability of Glottal Waveform Features

Juan Félix Torres (1), Elliot Moore (2)

(1) Electrical and Computer Engineering Department, Polytechnic University, San Juan, Puerto Rico, USA
(2) School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA

To measure the extent to which individual glottal features obtained via inverse filtering can be used to discriminate between the speech of different speakers, we test a set of 16 glottal parameters on a 50-speaker subset of the TIMIT corpus in a frame-level pairwise speaker discrimination task. In addition, we compare a vector of glottal parameters to a set of spectral envelope features in the same task. The results showed higher discrimination ability between pairs of male speakers, and an overall inconsistency in feature rankings between genders. Glottal feature vectors were able to discriminate speakers at a much higher rate, and showed some ability to complement spectral envelope features.

Index Terms: glottal waveform, voice source, speaker identification, feature extraction

Full Paper

Bibliographic reference.  Torres, Juan Félix / Moore, Elliot (2012): "Speaker discrimination ability of glottal waveform features", In INTERSPEECH-2012, 1652-1655.