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: | Online |
| Language: | English |
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MDPI
2015
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4327087/ |