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:2019,28(3):146-151
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基于轨迹的时空光谱特征语音情感识别算法
(广东工业大学 计算机学院, 广州 510006)
Speech Emotion Recognition Based on Space Time Spectrum Trajectory Feature
(Faculty of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006, China)
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投稿时间:2018-08-23    修订日期:2018-09-20
中文摘要: 语音识别领域的发展日新月异.同时,现有的研究结果表明声学特性集中存在较多的互补信息.本文提出了一种基于轨迹的空间-时间谱特语音情感识别方法.其核心思想是从语音频谱图中获得空间和时间上的描述符,进行分类和维度情感识别.本方法采用了穷举特征提取的实验表明:与MFCCs和基频等特征提取方法相比,提出的方法在噪声条件下,更具鲁棒性.通过在4类情感识别实验中获得了可比较的非加权平均回馈,得到了较为准确的结果,语音激活检测方面也具有显著的改进.
Abstract:The development of speech recognition is changing with each passing day. At the same time, the existing research results show that there is more complementary information in acoustic characteristics. In this study, a trajectory based spatio temporal spectral speech emotion recognition method is proposed. Its core idea is to get spatial and temporal descriptors from the speech spectrum, classify and identify dimensional emotion. The experiment using the exhaustive feature extraction shows that the proposed method is more robust in the noise condition than the MFCCs and the fundamental frequency extraction methods. In the 4 classes of emotion recognition experiments, the comparison of non weighted average feedback is obtained, and more accurate results are obtained. And, the voice activation detection is also improved significantly.
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基金项目:国家自然科学基金(61572142);广东省自然科学基金(2015A030313490)
引用文本:
朱艺伟,宋泊东,张立臣.基于轨迹的时空光谱特征语音情感识别算法.计算机系统应用,2019,28(3):146-151
ZHU Yi-Wei,SONG Bo-Dong,ZHANG Li-Chen.Speech Emotion Recognition Based on Space Time Spectrum Trajectory Feature.COMPUTER SYSTEMS APPLICATIONS,2019,28(3):146-151

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