A study of voice/non-voice discrimination method using neural networks for integrated packet switching system

Author

Shimokoshi, Kiyoshi ; Hashitsume, Yukinao

Author_Institution

Oki Electr. Ind. Co. Ltd., Tokyo, Japan

fYear

1989

Firstpage

2096

Abstract

Voice packet technology, which handles analog signals such as DTMF (dual-tone multifrequency) signals and voiceband data as well as voice, image and data, is a key technology for a fast packet-switching system for multimedia communication. Transmission of voice signal in packets involves echo canceling, bandwidth-compression coding, and silence compression. However, if nonvoice signals like DTMF signals and voiceband data undergo such processing, communication quality may deteriorate due to malfunction or erroneous detection at the receiving side. The authors have developed a voice/nonvoice discrimination method by combining digital signal processing and a neural network. They confirmed that the method showed good characteristics by simulation and by running it on a DSP

Keywords

ISDN; computerised signal processing; neural nets; packet switching; telecommunications computing; voice communication; DSP; DTMF signals; ISDN; analog signals; bandwidth-compression coding; digital signal processing; echo canceling; integrated packet switching system; multimedia communication; neural networks; nonvoice signals; silence compression; simulation; voice packet technology; voice/nonvoice discrimination method; voiceband data; Asynchronous transfer mode; Delay effects; Digital signal processing; Image coding; Modems; Neural networks; Packet switching; Signal processing; Signal processing algorithms; Speech;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1989., IEEE International Symposium on

Conference_Location

Portland, OR

Type

conf

DOI

10.1109/ISCAS.1989.100788

Filename

100788