@inproceedings{1a4e6345576f437ba7c679497cf2e737,
title = "Voice Activity Detection by Jo1i n t MRCG and MFCC Features with Robustness Detection based GRU Networks",
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. ",
author = "Rong Zhang and Li, {Pin Hsuan} and Liang, {Kai Wen} and Chang, {Pao Chi}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; null ; Conference date: 15-09-2021 Through 17-09-2021",
year = "2021",
doi = "10.1109/ICCE-TW52618.2021.9603162",
language = "???core.languages.en_GB???",
series = "2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021",
}