Effects of speech codecs on a remote speaker recognition system using noval SAD

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dc.contributor.authorAjgou, Ridh
dc.contributor.authorSbaa, Salim
dc.contributor.authorGhendir, Said
dc.contributor.authorChamsa, Ali
dc.contributor.authorTaleb- Ahmed, A.
dc.date.accessioned2019-06-30T09:09:16Z
dc.date.available2019-06-30T09:09:16Z
dc.date.issued2014-04-02
dc.descriptionThe Intemational Conference on Electronics and Communication Systems 02 Avril 2014 université Sofia Bulgariaen_US
dc.description.abstractThis paper deals with the effects of speech codecs on remote texit-independent speaker recognition performance in VoIPapplications, considering three types of speech codec: PCM, DPCM and ADPCM conforming to International Telecommunications Union-Telecoms (ITU-T) recommendation used in telephony and VoIP (Voice over Internet Protocol). In order to improve the speaker recognition performance in noisy environment we propose a new robust speech activity detection algorithm (SAD) using "Adaptive Threshold", which can be simulated with speech wave files of TIMIT database submerged in an additive noise. Moreover, the speaker recognition system is based on Vector Quantization and Mel-Frequency Cepstral features extraction algorithm. Where, the feature extraction proceed after (for testing phase) and before (for training phase ) the speech is sending over communication channel. Therefore, the digital channels can introduce several types of degradation. To overcome the degradation of channel, a convolutional code is used as error-control coding with the AWGN channel, Finely, the best overall performance of speech codecs was observed for the PCM code in terùs of recognition rate accuracy and execution time.en_US
dc.identifier.urihttp://dspace.univ-eloued.dz/handle/123456789/2989
dc.language.isoenen_US
dc.publisherUniversity of Eloued جامعة الواديen_US
dc.subjectPCM, DPCM, ADPCM, Speaker recognition, SADen_US
dc.titleEffects of speech codecs on a remote speaker recognition system using noval SADen_US
dc.typeOtheren_US

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