A comparative study between linear and nonlinear speech prediction

Autor:	Faundez-Zanuy, Marcos, Monte, Enric, Vallverdú, Francesc
Rok vydání:	2022
Předmět:	Computer Science - Sound Electrical Engineering and Systems Science - Audio and Speech Processing
Zdroj:	1997 International Workshop on Artificial Neural Networks (IWANN), Lanzarore (Spain)
Druh dokumentu:	Working Paper
DOI:	10.1007/BFb0032575
Popis:	This paper is focused on nonlinear prediction coding, which consists on the prediction of a speech sample based on a nonlinear combination of previous samples. It is known that in the generation of the glottal pulse, the wave equation does not behave linearly [2], [10], and we model these effects by means of a nonlinear prediction of speech based on a parametric neural network model. This work is centred on the neural net weight's quantization and on the compression gain. Comment: 11 pages, published in Mira, J., Moreno-D\'iaz, R., Cabestany, J. (eds) Biological and Artificial Computation: From Neuroscience to Technology. IWANN 1997. Lecture Notes in Computer Science, vol 1240. Springer, Berlin, Heidelberg
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2203.16962 Zobrazit plný text záznamu View this record from Arxiv