Frame Based Features

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.

• Type: Conference
• Year: 2007
• Where: SPEAKERC
• Authors: Stefan Schacht, Jacques C. Koreman, Christoph Lauer, Andrew C. Morris, Dalei Wu, Dietrich Klakow
• Keywords: Biometrics, Feature Extraction Methods, Frequency Cepstral Coefficients, Linear Predictive Coding, SPEAKERC 2007