TY - GEN
T1 - A new speech enhancement approach based on progressive deep neural networks
AU - Shu, Xiaofeng
AU - Zhou, Yi
AU - Cao, Yin
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/2
Y1 - 2018/11/2
N2 - In this paper, a speech enhancement method based on the framework of progressive deep neural networks (PDNNs) is proposed to alleviate the recognition performance degradation of the automatic speech recognition (ASR) system in low signal-to-noise ratio (SNR) environments. It aims at decomposing a regression task into multiple subtasks, which are closely related to each other, to improve the system performance. Then the learning targets of these subtasks are designed with gradually increasing SNR gains. Furthermore, a post-processing module, which benefits from the rich information of the learning targets, is applied to further improve the system performance. Experimental results reveal that the proposed method can achieve improvements in both objective and subjective evaluations in low SNR environments when compared with the conventional deep neural network method.
AB - In this paper, a speech enhancement method based on the framework of progressive deep neural networks (PDNNs) is proposed to alleviate the recognition performance degradation of the automatic speech recognition (ASR) system in low signal-to-noise ratio (SNR) environments. It aims at decomposing a regression task into multiple subtasks, which are closely related to each other, to improve the system performance. Then the learning targets of these subtasks are designed with gradually increasing SNR gains. Furthermore, a post-processing module, which benefits from the rich information of the learning targets, is applied to further improve the system performance. Experimental results reveal that the proposed method can achieve improvements in both objective and subjective evaluations in low SNR environments when compared with the conventional deep neural network method.
KW - Learning targets
KW - PDNNs
KW - SNR
KW - Speech enhancement
UR - http://www.scopus.com/inward/record.url?scp=85057387402&partnerID=8YFLogxK
U2 - 10.1109/IWAENC.2018.8521408
DO - 10.1109/IWAENC.2018.8521408
M3 - Conference Proceeding
AN - SCOPUS:85057387402
T3 - 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings
SP - 191
EP - 195
BT - 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018
Y2 - 17 September 2018 through 20 September 2018
ER -