Characterizing Depressive Related Speech with MFCC

Conference proceedings article

ผู้เขียน/บรรณาธิการ

กลุ่มสาขาการวิจัยเชิงกลยุทธ์

ไม่พบข้อมูลที่เกี่ยวข้อง

รายละเอียดสำหรับงานพิมพ์

รายชื่อผู้แต่ง: Suwannakhun S., Yingthawornsuk T.

ผู้เผยแพร่: Hindawi

ปีที่เผยแพร่ (ค.ศ.): 2019

ISBN: 9781728156316

นอก: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083592840&doi=10.1109%2fiSAI-NLP48611.2019.9045499&partnerID=40&md5=de7fb4f82204442460db7156d89d9328

ภาษา: English-Great Britain (EN-GB)

ดูบนเว็บไซต์ของสำนักพิมพ์

บทคัดย่อ

The experimental results from comparative study of acoustical properties in speech as emotional indicator based on spectral characteristics of speech signal have formerly been studied and reported for its quantitative information in association with the emotional states in persons suffering depression. This symptom affects speech production system of speaker, which modulates in spoken sound. MFCC has been reported for its characteristic change corresponding to severity of depression. The sixteenth MFCCs from remitted, depressed and suicidal patient groups were extracted, statistically tested and classified in pairwise fashion by using ML, LS and LMS classifiers. The best score of classification can be obtained at 0.2487 in error based on ML classifier with 80% of MFCC samples in testing phase. Results suggest the dominant property of MFCC in separation between suicidal and recovering speakers from depression. ฉ 2019 IEEE.

คำสำคัญ

maximum likelihood