Frame Based Features

Authors:
Stefan Schacht;Jacques Koreman;Christoph Lauer;Andrew Morris;Dalei Wu;Dietrich Klakow
Affiliations:
Spoken Language Systems/Phonetics, Universität des Saarlandes, Saarbrücken, Germany;Spoken Language Systems/Phonetics, Universität des Saarlandes, Saarbrücken, Germany;Spoken Language Systems/Phonetics, Universität des Saarlandes, Saarbrücken, Germany;Spoken Language Systems/Phonetics, Universität des Saarlandes, Saarbrücken, Germany;Spoken Language Systems/Phonetics, Universität des Saarlandes, Saarbrücken, Germany;Spoken Language Systems/Phonetics, Universität des Saarlandes, Saarbrücken, Germany
Venue:
Speaker Classification I
Year:
2007

Citing 9
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Abstract

In this chapter we will discuss feature extraction methods for speaker classification. We introduce linear predictive coding, mel frequency cepstral coefficients and wavelets and perform experimental studies on AURORA and TIMIT data. For the speaker identification task, we can show that wavelets are beneficial.