2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2019
Depression has long been recognized as one of the leading causes of disability and burden worldwi... more Depression has long been recognized as one of the leading causes of disability and burden worldwide. In psychology, it is well known that the self is not only the cognitive subject, but also the core of personality. And the high incidence of suicide and pervasive hopelessness in depressed individuals suggested that the self might be abnormal among them. In order to expand the application of the depression detection, we employ classical scientific psychology paradigms on abnormalities of self-related processing in depressed individuals to develop a Chinese depressed speech corpus. Eleven depressed individuals and ten healthy subjects, who are gender-balanced and age-balanced, were recruited to participate in this study. Currently we have preliminarily collected 6 and 2.5 hours of speech data respectively, with the results of preliminary analysis indicating that there exist abnormalities in the depressed speech. The study results will provide a new perspective and strategy for further study on the building and application of Chinese speech corpus in depression. I.
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Papers by Sara Cuevas