Title :
The Influence of Frame Length on Speaker Identification Performance
Author :
Impedovo, Donato ; Refice, Mario
Author_Institution :
Politecnico di Bari, Bari
Abstract :
Speaker recognition/identification is a challenge for the implementation of security applications. Unfortunately, degradation in performance is usually observed for high pitched speakers and also whenever average pitch varies significantly between enrolment and testing. In this paper, a study on the impact of the frame length used to extract features from speech signal on the performance of speaker identification is presented. Tests have been carried out on a text-dependent database. Results show that a combination of different frame sizes between the training and the recognition phases can cope with the degradation. A reduction between 40% and 65% in false rejections has been generally observed.
Keywords :
feature extraction; speaker recognition; feature extraction; performance degradation; security applications; speaker identification performance; speaker recognition; speech signal; text-dependent database; Degradation; Feature extraction; Hidden Markov models; Impedance; Information security; Mel frequency cepstral coefficient; Signal processing; Speaker recognition; Speech; Testing;
Conference_Titel :
Information Assurance and Security, 2007. IAS 2007. Third International Symposium on
Conference_Location :
Manchester
Print_ISBN :
0-7695-2876-7
Electronic_ISBN :
978-0-7695-2876-2
DOI :
10.1109/IAS.2007.31
