Speech coding for energy-efficient digital signal processing

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2000Publisher:IEEEJournal:Proceedings of the 43rd IEEE Midwest Symposium on Circuits and Systems (Cat.No.CH37144)

Authors: J. Wassner; H. Kaeslin; N. Felber; W. Fichtner;

doi: 10.1109/mwscas.2000.952823

Speech coding for energy-efficient digital signal processing

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Abstract

Waveform coding techniques known from low bitrate communication are evaluated for their usefulness in low-power digital filtering of speech signals as used in hearing aids or mobile communication applications. Experimental results are presented to quantify potential power savings subject to statistical signal properties and operating conditions. Compared to linear PCM, the energy per basic operation can be reduced by more than 50%.

Related Organizations

Integrated Systems Laboratory
Switzerland
ETH Zurich
Switzerland

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