...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of electrical and computer engineering >A Novel DBN Feature Fusion Model for Cross-Corpus Speech Emotion Recognition
【24h】

A Novel DBN Feature Fusion Model for Cross-Corpus Speech Emotion Recognition

机译：跨企业语音情感识别的新型DBN特征融合模型

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The feature fusion from separate source is the current technical difficulties of cross-corpus speech emotion recognition. The purpose of this paper is to, based on Deep Belief Nets (DBN) in Deep Learning, use the emotional information hiding in speech spectrum diagram (spectrogram) as image features and then implement feature fusion with the traditional emotion features. First, based on the spectrogram analysis by STB/Itti model, the new spectrogram features are extracted from the color, the brightness, and the orientation, respectively; then using two alternative DBN models they fuse the traditional and the spectrogram features, which increase the scale of the feature subset and the characterization ability of emotion. Through the experiment on ABC database and Chinese corpora, the new feature subset compared with traditional speech emotion features, the recognition result on cross-corpus, distinctly advances by 8.8%. The method proposed provides a new idea for feature fusion of emotion recognition.
机译：来自不同来源的特征融合是跨主体语音情感识别的当前技术难题。本文的目的是基于深度学习中的深度信念网（DBN），将隐藏在语音频谱图（频谱图）中的情感信息用作图像特征，然后实现与传统情感特征的融合。首先，基于STB / Itti模型的频谱图分析，分别从颜色，亮度和方向中提取新的频谱图特征；然后使用两个备选DBN模型将传统特征和频谱图特征融合在一起，从而增加了特征子集的规模和情感的表征能力。通过ABC数据库和汉语语料库的实验，新特征子集与传统语音情感特征相比，跨语料库的识别结果明显提高了8.8％。该方法为情感识别的特征融合提供了新思路。

著录项

  • 来源
    《Journal of electrical and computer engineering》 |2016年第2期|7437860.1-7437860.11|共11页
  • 作者

    Zou Cairong; Zhang Xinran; Zha Cheng; Zhao Li;

  • 作者单位

    Department of Information and Communication Engineering, Guangzhou Maritime University, Guangzhou 510006, China,Key Laboratory of Underwater Acoustic signal Processing of Ministry of Education, Southeast University, Nanjing 210096, China;

    Key Laboratory of Underwater Acoustic signal Processing of Ministry of Education, Southeast University, Nanjing 210096, China;

    Key Laboratory of Underwater Acoustic signal Processing of Ministry of Education, Southeast University, Nanjing 210096, China;

    Key Laboratory of Underwater Acoustic signal Processing of Ministry of Education, Southeast University, Nanjing 210096, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号