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Accuracy of MFCC-Based Speaker Recognition in Series 60 Device


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.

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Correspondence to Juhani Saastamoinen.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Saastamoinen, J., Karpov, E., Hautamäki, V. et al. Accuracy of MFCC-Based Speaker Recognition in Series 60 Device. EURASIP J. Adv. Signal Process. 2005, 878210 (2005).

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Keywords and phrases

  • speaker identification
  • fixed point arithmetic
  • round-off error
  • MFCC
  • FFT
  • Symbian