Distinguishing depression and suicidal risk in men using GMM based frequency contents of affective vocal tract response
Conference proceedings article
ผู้เขียน/บรรณาธิการ
กลุ่มสาขาการวิจัยเชิงกลยุทธ์
ไม่พบข้อมูลที่เกี่ยวข้อง
รายละเอียดสำหรับงานพิมพ์
รายชื่อผู้แต่ง: Yingthawornsuk T., Shiavi R.G.
ผู้เผยแพร่: Hindawi
ปีที่เผยแพร่ (ค.ศ.): 2008
หน้าแรก: 901
หน้าสุดท้าย: 904
จำนวนหน้า: 4
ISBN: 9788995003893
นอก: 0146-9428
eISSN: 1745-4557
ภาษา: English-Great Britain (EN-GB)
บทคัดย่อ
Two types of speech recording collected from three groups of male subjects clinically diagnosed with depression, remission from depression, and suicidal potential were analyzed and investigated for their acoustic features derived from sub-band energy over 0-2 KHz and GMM-based spectrum of the vocal tract response. Spontaneous and text-reading speech samples characterized by different vocal features revealed significant between-class separation power. Especially, features extracted from the reading speech seemed to provide more separability between classes than those of the spontaneous speech. Additionally, high classification accuracy confirmed that the studied features were capable of distinguishing groups of different diagnostic subjects efficiently. In classifying depressed/suicidal subjects the correct score of classification was at 88.5% for features extracted from reading speech samples, while 85.58% was found from classifying spontaneous speech features. These results were considered to be fairly high in classification performance, which is supportive of the promising ability to distinguish two diagnostic groups whose speech samples changed in their acoustic properties and correlated of serious mental states, known as vocal affects. Our findings suggested some clues in diagnosis of psychiatric disorders for psychiatrist.
คำสำคัญ
Depression, GMM, Suicidal risk, Vocal tract
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