Zobrazeno 1 - 10
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pro vyhledávání: '"NONLINEAR PREDICTION"'
Akademický článek
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Akademický článek
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Autor:
Jung, Bastian, Johansson, Fredrik D
In domains where sample sizes are limited, efficient learning algorithms are critical. Learning using privileged information (LuPI) offers increased sample efficiency by allowing prediction models access to auxiliary information at training time whic
Externí odkaz:
http://arxiv.org/abs/2209.07067
Akademický článek
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Autor:
Faundez-Zanuy, Marcos
Publikováno v:
2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2003, pp. II-181
We compare a wide band sub-band speech coder using ADPCM schemes with linear prediction against the same scheme with nonlinear prediction based on multi-layer perceptrons. Exhaustive results are presented in each band, and the full signal. Our propos
Externí odkaz:
http://arxiv.org/abs/2203.12896
Autor:
Oliva, Oscar, Faundez-Zanuy, Marcos
Publikováno v:
6 European Conference on Speech Communication and Technology EUROSPEECH 99, Budapest, Hungary, September 1999
In this paper we compare several ADPCM schemes with nonlinear prediction based on neural nets with the classical ADPCM schemes based on several linear prediction schemes. Main studied variations of the ADPCM scheme with adaptive quantization (2 to 5
Externí odkaz:
http://arxiv.org/abs/2203.03189
Autor:
Faundez-Zanuy, Marcos
Publikováno v:
2002 11th European Signal Processing Conference, 2002, pp. 1-4
In this paper we propose a Non-Linear Predictive Vector quantizer (PVQ) for speech coding, based on Multi-Layer Perceptrons. With this scheme we have improved the results of our previous ADPCM coder with nonlinear prediction, and we have reduced the
Externí odkaz:
http://arxiv.org/abs/2202.13866
Publikováno v:
Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), 1998, pp. 345-348 vol.1
In the last years there has been a growing interest for nonlinear speech models. Several works have been published revealing the better performance of nonlinear techniques, but little attention has been dedicated to the implementation of the nonlinea
Externí odkaz:
http://arxiv.org/abs/2203.11612
Publikováno v:
5th International Conference on spoken language processing. Vol.2 pp.121-124. ICSLP 1998. ISBN 1-876346-17-5
This Paper discusses the usefulness of the residual signal for speaker recognition. It is shown that the combination of both a measure defined over LPCC coefficients and a measure defined over the energy of the residual signal gives rise to an improv
Externí odkaz:
http://arxiv.org/abs/2203.09231
Publikováno v:
9th European Signal Processing Conference (EUSIPCO 1998), 1998, pp. 1-4
Many speech coders are based on linear prediction coding (LPC), nevertheless with LPC is not possible to model the nonlinearities present in the speech signal. Because of this there is a growing interest for nonlinear techniques. In this paper we dis
Externí odkaz:
http://arxiv.org/abs/2203.01818