Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Accuracy of MFCC-Based Speaker Recognition in Series 60 Device | EURASIP Journal on Applied Signal Processing 2005 17 2816-2827 2005 Hindawi Publishing Corporation Accuracy of MFCC-Based Speaker Recognition in Series 60 Device Juhani Saastamoinen Department of Computer Science University of Joensuu . Box 111 80101 Joensuu Finland Email juhani@ Evgeny Karpov Department of Computer Science University of Joensuu . Box 111 80101 Joensuu Finland Email ekarpov@ Ville Hautamaki Department of Computer Science University of Joensuu . Box 111 80101 Joensuu Finland Email villeh@ Pasi Franti Department of Computer Science University of Joensuu . Box 111 80101 Joensuu Finland Email franti@ Received 1 October 2004 Revised 14 June 2005 Recommended for Publication by Markus Rupp A fixed point implementation of speaker recognition based on MFCC signal processing is considered. We analyze the numerical error of the MFCC and its effect on the recognition accuracy. Techniques to reduce the information loss in a converted fixed point implementation are introduced. We increase the signal processing accuracy by adjusting the ratio of presentation accuracy of the operators and the signal. The signal processing error is found out to be more important to the speaker recognition accuracy than the error in the classification algorithm. The results are verified by applying the alternative technique to speech data. We also discuss the specific programming requirements set up by the Symbian and Series 60. Keywords and phrases speaker identification fixed point arithmetic round-off error MFCC FFT Symbian. 1. INTRODUCTION The speech research and application development deal with three main problems speech synthesis speech recognition and speaker recognition. We are working in a speech technology project where one of the main goals is to integrate automatic speaker recognition technique into Series 60 mobile phones. In speaker recognition we have a recorded speech sample and we try to determine to .
