Mobile phone environment and other devices that require low power consumption, restrict the computations of DSP processors to fixed point arithmetic only. This is a common practice based on cost and battery power savings. In this paper, we first discuss the specific software architecture requirements set up by the Symbian operating system and the Series 60 platform. We analyze mel frequency cepstral coefficient based classification. and show techniques to avoid information loss, when a floating-point algorithm is replaced by a corresponding algorithm that uses fixed-point arithmetic. We analyze the preservation of discrimination information, which is the key motivation in all classification applications. We also give insight to the relation between information preserving and operator presentation accuracy. The results are exemplified with tests made on algorithms that are identical except for the different arithmetics used.
Cite as: Saastamoinen, J., Karpov, E., Hautamäki, V., Fränti, P. (2004) Automatic speaker recognition for series 60 mobile devices. Proc. 9th Conference on Speech and Computer (SPECOM 2004), 353-360
@inproceedings{saastamoinen04_specom,
author={Juhani Saastamoinen and Evgeny Karpov and Ville Hautamäki and Pasi Fränti},
title={{Automatic speaker recognition for series 60 mobile devices}},
year=2004,
booktitle={Proc. 9th Conference on Speech and Computer (SPECOM 2004)},
pages={353--360}
}