Abstract
Accurate detection of depression from spontaneous speech could lead to an objective diagnostic aid to assist clinicians to better diagnose depression. Little thought has been given so far to which classifier performs best for this task. In this study, using a 60-subject real-world clinically validated dataset, we compare three popular classifiers from the affective computing literature – Gaussian Mixture Models (GMM), Support Vector Machines (SVM) and Multilayer Perceptron neural networks (MLP) – as well as the recently proposed Hierarchical Fuzzy Signature (HFS) classifier. Among these, a hybrid classifier using GMM models and SVM gave the best overall classification results. Comparing feature, score, and decision fusion, score fusion performed better for GMM, HFS and MLP, while decision fusion worked best for SVM (both for raw data and GMM models). Feature fusion performed worse than other fusion methods in this study. We found that loudness, root mean square, and intensity were the voice features that performed best to detect depression in this dataset.
Original language | English |
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Title of host publication | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
Editors | Rabab Ward, Li Deng |
Place of Publication | Vancouver, British Columbia, Canada |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 8022-8026 |
Number of pages | 5 |
ISBN (Electronic) | 9781479903566 |
DOIs | |
Publication status | Published - 2013 |
Event | 38th International Conference on Acoustics, Speech and Signal Processing ICASSP2013 - Vancouver, Vancouver, Canada Duration: 26 May 2013 → 31 May 2013 |
Conference
Conference | 38th International Conference on Acoustics, Speech and Signal Processing ICASSP2013 |
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Abbreviated title | ICASSP2013 |
Country/Territory | Canada |
City | Vancouver |
Period | 26/05/13 → 31/05/13 |
Other | The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions |