Time-Frequency Feature Representation Using Multi-Resolution Texture Analysis and Acoustic Activity Detector for Real-Life Speech Emotion Recognition
The classification of emotional speech is mostly considered in speech-related research on human-computer interaction (HCI). In this paper, the purpose is to present a novel feature extraction based on multi-resolutions texture image information (MRTII). The MRTII feature set is derived from multi-re...
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| Format: | Article |
| Language: | English |
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MDPI AG
2015-01-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/15/1/1458 |