Name
Abstract | ||
|---|---|---|
This paper presents a speech emotion recognition system on nonlinear manifold. Instead of straight-line distance, geodesic distance was adopted to preserve the intrinsic geometry of speech corpus. Based on geodesic distance estimation, we developed an enhanced Lipschitz embedding to embed the 64-dimensional acoustic features into a six-dimensional space. In this space, speech data with the same emotional state were located close to one plane, which was beneficial to emotion classification. The compressed testing data were classified into six archetypal emotional states (neutral, anger, fear, happiness, sadness and surprise) by a trained linear support vector machine (SVM) system. Experimental results demonstrate that compared with traditional methods of feature extraction on linear manifold and feature selection, the proposed system makes 9%-26% relative improvement in speaker-independent emotion recognition and 5%-20% improvement in speaker-dependent |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICPR.2006.490 | ICPR (3) |
Keywords | Field | DocType |
linear manifold,64-dimensional acoustic feature,emotion classification,archetypal emotional states,speech corpus,linear support vector machine,speech recognition,straight-line distance,geodesic distance,acoustic features,geodesic distance estimation,speech data,speech corpus intrinsic geometry,emotion recognition,speaker-independent emotion recognition,feature extraction,proposed system,emotional speech analysis,feature selection,speech emotion recognition system,lipschitz embedding,nonlinear manifold,support vector machines,compressed testing data,support vector machine | Speech corpus,Feature selection,Pattern recognition,Computer science,Support vector machine,Emotion classification,Speech recognition,Feature extraction,Artificial intelligence,Lipschitz continuity,Manifold,Geodesic | Conference |
Volume | ISSN | ISBN |
3 | 1051-4651 | 0-7695-2521-0 |
Citations | PageRank | References |
10 | 0.70 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mingyu You | 1 | 160 | 16.22 |
| Chun Chen | 2 | 4727 | 246.28 |
| Jiajun Bu | 3 | 4106 | 211.52 |
| Jia Liu | 4 | 50 | 3.81 |
| Jianhua Tao | 5 | 848 | 138.00 |