Speech emotion recognition using spectrograms and convolutional neural networks /
Speech Emotion Recognition (SER) is the task of recognising the emotional aspects of speech irrespective of the semantic contents. Recognising these human speech emotions have gained much importance in recent years in order to improve both the naturalness and efficiency of Human-Machine Interactions...
Saved in:
主要作者: | Majid, Taiba (Author) |
---|---|
格式: | Thesis |
语言: | English |
出版: |
Kuala Lumpur :
Kulliyyah of Engineering, International Islamic University Malaysia,
20
|
主题: | |
在线阅读: | http://studentrepo.iium.edu.my/handle/123456789/10783 |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Malay isolated word recognition /
由: Haidawati Mohamad Nasir
出版: (2007) -
Speech and speaker authenticition system /
由: Suraya Mohammad
出版: (2006) -
Speech emotion recognition and depression prediction using deep neural networks /
由: AlGhifari, Muhammad Fahreza -
Neural network based speech recognizer /
由: Muralidharan, V.
出版: (1994) -
Automatic segmentation for Mandarin speech recognition /
由: Ou, Yongzhen
出版: (1995)