DeepAI AI Chat
Log In Sign Up

Deep Vocoder: Low Bit Rate Compression of Speech with Deep Autoencoder

05/12/2019
by   Gang Min, et al.
NetEase, Inc
0

Inspired by the success of deep neural networks (DNNs) in speech processing, this paper presents Deep Vocoder, a direct end-to-end low bit rate speech compression method with deep autoencoder (DAE). In Deep Vocoder, DAE is used for extracting the latent representing features (LRFs) of speech, which are then efficiently quantized by an analysis-by-synthesis vector quantization (AbS VQ) method. AbS VQ aims to minimize the perceptual spectral reconstruction distortion rather than the distortion of LRFs vector itself. Also, a suboptimal codebook searching technique is proposed to further reduce the computational complexity. Experimental results demonstrate that Deep Vocoder yields substantial improvements in terms of frequency-weighted segmental SNR, STOI and PESQ score when compared to the output of the conventional SQ- or VQ-based codec. The yielded PESQ score over the TIMIT corpus is 3.34 and 3.08 for speech coding at 2400 bit/s and 1200 bit/s, respectively.

READ FULL TEXT
05/12/2019

Deep Vocoder: Low Bit Rate Speech Compression of Speech with Deep Autoencoder

Inspired by the success of deep neural networks (DNNs) in speech process...
01/24/2023

Differentiable bit-rate estimation for neural-based video codec enhancement

Neural networks (NN) can improve standard video compression by pre- and ...
09/09/2018

A novel method of speech information hiding based on 3D-Magic Matrix

Redundant information of low-bit-rate speech is extremely small, thus it...
04/15/2016

Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding

Most current very low bit rate (VLBR) speech coding systems use hidden M...
02/10/2020

End-to-End Facial Deep Learning Feature Compression with Teacher-Student Enhancement

In this paper, we propose a novel end-to-end feature compression scheme ...
04/25/2018

Deep Convolutional AutoEncoder-based Lossy Image Compression

Image compression has been investigated as a fundamental research topic ...
12/25/2021

Pseudocylindrical Convolutions for Learned Omnidirectional Image Compression

Although equirectangular projection (ERP) is a convenient form to store ...