Effect of Reverberation in Speech-based Emotion Recognition

Shujie Zhao, Yan Yang, Jingdong Chen

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

In room environment, echo, reverberation, interference and additive noise cast the major challenges for emotional speech recognition due to degradation in quality and reliability of recorded speech signals. In this paper, we investigate effects of reverberation and noise on speech-based emotion recognition by comparing clean speech signal, adding simulated reverberant data, de-reverberant data and signal with added noise. First, we develop an emotional speech corpus of these four kinds of emotional speech data sources. Then we apply GMM-UBM framework to evaluate the performance of emotion recognition based on them. Results show that reverberation reduces emotion recognition accuracy by 5.87%, and a process of de-reverberation can largely cover this reduction.

源语言英语
主期刊名2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781538663783
DOI
出版状态已出版 - 2 7月 2018
活动2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018 - Eilat, 以色列
期限: 12 12月 201814 12月 2018

出版系列

姓名2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018

会议

会议2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
国家/地区以色列
Eilat
时期12/12/1814/12/18

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