Το work with title Quantization of cepstral parameters for speech recognition over the World Wide Web by Digalakis Vasilis, Neumeyer Leonardo, Perakakis M. is licensed under Creative Commons Attribution 4.0 International
Bibliographic Citation
V. Digalakis, L. Neumeyer and M. Perakakis, "Quantization of cepstral parameters for speech recognition over the World Wide Web," IEEE J. Sel. Areas Commun., vol. 17, no. 1, pp. 82-90, Jan. 1999. doi:0.1109/49.743698
https://doi.org/10.1109/49.743698
We 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 second