EUROSPEECH 2001 Scandinavia
7th European Conference on Speech Communication and Technology

Aalborg, Denmark
September 3-7, 2001


Improvements in the Speaker Identification Rate Using Feature-Sets

Daniel J. Mashao, N. Tinyiko Baloyi

University of Cape Town, South Africa

In this paper we look at the parameterized feature-set that has been used in connected alpha-digit speech recognition and evaluate it on a speaker identification system. Compared to the popular mel-scaled feature-set (MFCC) the parameterized feature-set gives over 21% improvement in identification rate on the NTIMIT database in some cases. On average it shows a 14.0% improvement in identification rate. This demonstrates the improvement in performance that can be obtained using feature-sets.

Full Paper

Bibliographic reference.  Mashao, Daniel J. / Baloyi, N. Tinyiko (2001): "Improvements in the speaker identification rate using feature-sets", In EUROSPEECH-2001, 2833-2836.