Abstract: In this study, a parallel structure is proposed for the nonlinear formant and pitch prediction of speech signals using Recurrent Neural Networks ...

ABSTRACT using samples which are at a distance equal to the pitch period of the speech is known as the long-term. (pitch) prediction.

Abstract: In this study, a parallel structure is proposed for the nonlinear formant and pitch prediction of speech signals using Recurrent Neural Networks ...

In this study, a parallel structure is proposed for the nonlinear formant and pitch prediction of speech signals using Recurrent Neural Networks (RNN) The well ...

It can be seen that for small number of neurons there is a gain of 7-10 dB when the pitch prediction is included and that this gain decreases approximately to 1 ...

Nonlinear formant-pitch prediction using recurrent neural networks. E Varoglu, K Hacioglu. 1996 8th European Signal Processing Conference (EUSIPCO 1996), 1-4 ...

ABSTRACT. In this paper, the speech production system is mod- elled using the true glottal excitation as the source and a recurrent neural network to ...

Apr 29, 2024 · This article thus reports the first-ever use of RNN and LSTM deep learning models to detect audio copy-move forgery.

A nonlinear predictive model of speech, based on the method of time delay reconstruction, is presented and approximated using a fully connected recurrent ...

Rapid simulations of advection-dominated problems are vital for multiple engi- neering and geophysical applications. In this paper, we present a long short- ...