activity
20192022
most citedDeep Vocoder: Low Bit Rate Compression of Speech with Deep Autoencoder

1 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 1 cited

A New Adjacency Matrix Configuration in GCN-based Models for Skeleton-based Action Recognition

Zheng Fang, Xiongwei Zhang, Tieyong Cao +2

Human skeleton data has received increasing attention in action recognition due to its background robustness and high efficiency. In skeleton-based action recognition, graph convol…

cs.SD2021

A Multi-Resolution Front-End for End-to-End Speech Anti-Spoofing

Wei Liu, Meng Sun, Xiongwei Zhang +2

The choice of an optimal time-frequency resolution is usually a difficult but important step in tasks involving speech signal classification, e.g., speech anti-spoofing. The variat…

cs.SD2021★ 1 cited

Low Bit-Rate Wideband Speech Coding: A Deep Generative Model based Approach

Gang Min, Xiongwei Zhang, Xia Zou +1

Traditional low bit-rate speech coding approach only handles narrowband speech at 8kHz, which limits further improvements in speech quality. Motivated by recent successful explorat…

eess.AS2020

When Automatic Voice Disguise Meets Automatic Speaker Verification

Linlin Zheng, Jiakang Li, Meng Sun +2

The technique of transforming voices in order to hide the real identity of a speaker is called voice disguise, among which automatic voice disguise (AVD) by modifying the spectral…

cs.MM2019★ 1 cited

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

Gang Min, Changqing Zhang, Xiongwei Zhang +1

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…