In this paper, we present a new speech coding named NPC (Neural Predictive Coding). It is obtained thanks to a MLP (Multi Layer Perceptron) used in ...
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May 25, 2023 · The optimization of neural audio coding aims to minimize the recovered signal distortion Dist(x, x|Θ) under a given rate constraint, i.e.. R(x|Θ) ...
Jun 19, 2020 · In this study, we addressed whether a predictive coding speech recognition model could benefit from neural oscillation processes. We ...
Nov 17, 2006 · The goal of this coding is to extract the signal window characteristics relative to the database which it is extracted. After a precise ...
The system is designed to predict the samples of a speech signal window from previous ones. The goal of this coding is to extract the signal discriminative ...
Abstract : In this paper, we present a predictive neural network called Neural. Predictive Coding (NPC). This model is used for non linear discriminant features ...
The function of the NPC is to compute a vector of parameters [1] extrated from a frame (20ms) of the speech signal. This vector is a discriminant feature of ...
Aug 13, 2024 · Abstract:This paper explores the integration of model-based and data-driven approaches within the realm of neural speech and audio coding ...
Jan 22, 2020 · We conclude that theta sensory sampling is tuned to maximize expected information gain, while delta encodes only non-redundant information.
Mar 2, 2023 · To test this hypothesis, we analysed the functional magnetic resonance imaging brain signals of 304 participants listening to short stories.