Speech coding for energy-efficient digital signal processing

Author

Wassner, J. ; Kaeslin, H. ; Felber, N. ; Fichtner, W.

Author_Institution

Integrated Syst. Lab., Swiss Fed. Inst. of Technol., Zurich, Switzerland

Volume

2

fYear

2000

fDate

2000

Firstpage

580

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%

Keywords

FIR filters; VLSI; differential pulse code modulation; digital filters; digital signal processing chips; hearing aids; low-power electronics; mobile communication; pulse code modulation; speech coding; APCM; DPCM; FIR filtering; MAC operation; PCM coding techniques; digital signal processing; energy-efficient DSP; hearing aids; low bit rate communication; low-power digital filtering; low-power digital signal processors; mobile communication applications; operating conditions; power savings; speech coding; speech signals; statistical signal properties; waveform coding techniques; Bit rate; Digital filters; Digital signal processing; Energy efficiency; Filtering; Hearing aids; Mobile communication; Phase change materials; Speech analysis; Speech coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2000. Proceedings of the 43rd IEEE Midwest Symposium on

Conference_Location

Lansing, MI

Print_ISBN

0-7803-6475-9

Type

conf

DOI

10.1109/MWSCAS.2000.952823

Filename

952823