Title :
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
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;
Conference_Titel :
Circuits and Systems, 1989., IEEE International Symposium on
Conference_Location :
Portland, OR
DOI :
10.1109/ISCAS.1989.100788
