Quantization of cepstral parameters for speech recognition over the World Wide WebQuantization of cepstral parameters for speech recognition over the World Wide Web Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2015-11-021999enWe examine alternative architectures for a client-server model of speech-enabled applications over the World Wide Web (WWW). We compare a server-only processing model where the client encodes and transmits the speech signal to the server, to a model where the recognition front end runs locally at the client and encodes and transmits the cepstral coefficients to the recognition server over the Internet. We follow a novel encoding paradigm, trying to maximize recognition performance instead of perceptual reproduction, and we find that by transmitting the cepstral coefficients we can achieve significantly higher recognition performance at a fraction of the bit rate required when encoding the speech signal directly. We find that the required bit rate to achieve the recognition performance of high-quality unquantized speech is just 2000 bits per secondhttp://creativecommons.org/licenses/by/4.0/IEEE Journal on Selected Areas in Communications17182-90 Digalakis Vasilis Διγαλακης Βασιλης Neumeyer Leonardo Perakakis M. Institute of Electrical and Electronics Engineers Speech recognition