Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/C60F51E7-5E0D-416D-9C68-02F155B96CF0 | ||
| Year | 1999 | ||
| Type of Item | Peer-Reviewed Journal Publication | ||
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| 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 | ||
| Appears in Collections |
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
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