Wide band sub-band speech coding using nonlinear prediction

03/24/2022
by   Marcos Faundez-Zanuy, et al.
0

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 proposed scheme with non-linear neural net prediction outperforms the linear scheme up to 2 dB in SEGSNR. In addition, we propose a simple method based on a non-linearity in order to obtain a synthetic wide band signal from a narrow band signal.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/24/2022

N-dimensional nonlinear prediction with MLP

In this paper we propose a Non-Linear Predictive Vector quantizer (PVQ) ...
research
04/04/2022

Nonlinear Vectorial Prediction with Neural Nets

In this paper we propose a nonlinear vectorial prediction scheme based o...
research
11/07/2018

High-quality speech coding with SampleRNN

We provide a speech coding scheme employing a generative model based on ...
research
03/14/2023

Native Multi-Band Audio Coding within Hyper-Autoencoded Reconstruction Propagation Networks

Spectral sub-bands do not portray the same perceptual relevance. In audi...
research
07/15/2008

A Grateful Dead Analysis: The Relationship Between Concert and Listening Behavior

The Grateful Dead were an American band that was born out of the San Fra...
research
03/24/2022

A new subband non linear prediction coding algorithm for narrowband speech signal: The nADPCMB MLT coding scheme

This paper focuses on a newly developed transparent nADPCMB MLT speech c...
research
12/14/2017

Analysis of Latency and MAC-layer Performance for Class A LoRaWAN

We propose analytical models that allow us to investigate the performanc...

Please sign up or login with your details

Forgot password? Click here to reset