Talk 7.1: 3:15PM–4:15PM
| Session Name: | Biomedical Applications and Artificial Perception |
| Session Time: | 3:15PM–4:15PM |
| Author Name: | Huawei Colin Li |
| Author Email: | huawei.li@utoronto.ca |
| Talk Title: | Vocal Tremor Analysis Using the Fine Structure Spectrogram |
| Slides: | 7-1.ppt |
| Abstract: | Tremor is an unintentional muscle movement involving oscillations of one or more parts of the body. Vocal tremor is known to be associated with neurological disorders such as Parkinson’s disease, essential tremor, and cerebellar ataxia. These vocal tremors are associated with a low-frequency modulation of the vocal folds. Characterizing the frequency, level and intensity of these modulations may help in diagnosing and treating a disorder. While much work towards measuring the variation of the pitch contour using time domain techniques has been done, these methods are not able to classify abnormal phonations accurately. By employing a two-stage method involving time-frequency analysis using the Fine Structure Spectrogram (FSS), it may be possible to create a more robust classifier that is suitable for a clinical environment. |
| Research Group: | Biomedical |
| Degree Program: | M.A.Sc. |
| Author Bio: | Huawei Colin Li graduated from University of Toronto with an Honours Electrical Engineering degree in 2006. He is currently a first year Masters candidate of the collaborative program in Biomedical Engineering with the Department of Electrical and Computer Engineering and the Institute of Biomaterials and Biomedical Engineering, under the supervision of Prof. Willy Wong and Prof. Pascal van Lieshout. |