Voice Activity Detection by Jo1i n t MRCG and MFCC Features with Robustness Detection based GRU Networks

Rong Zhang, Pin Hsuan Li, Kai Wen Liang, Pao Chi Chang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we proposed a Voice activity detection (VAD) model based on recurrent neural network(RNN) with joint MRCG and MFCC features. The system consists of two layers of gated recurrent unit (GRU) and beat the traditional methods in accuracy in our experiments.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665433280
DOIs
StatePublished - 2021
Event8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 - Penghu, Taiwan
Duration: 15 Sep 202117 Sep 2021

Publication series

Name2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021

Conference

Conference8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
Country/TerritoryTaiwan
CityPenghu
Period15/09/2117/09/21

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