DocumentCode
569161
Title
Nine Voices, One Artist: Linguistic and Acoustic Analysis
Author
Amin, Talal Bin ; Marziliano, Pina ; German, James Sneed
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear
2012
fDate
9-13 July 2012
Firstpage
450
Lastpage
454
Abstract
Voice impersonators possess a flexible voice and thus can change their voice identity. They are able to imitate various people and characters which differ in age, gender, accent and voice quality. State of the art electronic voice conversion systems are not able to successfully mimic their human counterparts as they lack naturalness. To understand why human impersonators are successful and what parameters they rely on to change their voice, we analyze nine voices produced by a professional voice impersonator. We compute different acoustical measures and discuss their linguistic implications. The acoustical measures include pitch, speech rate and formant frequencies. Our results show that differences in the voice identity features such as age and gender are reflected in the acoustic parameters of the impersonations. The analysis is distinguished from previous studies on impersonators in giving full consideration to voice identity features.
Keywords
acoustic signal processing; computational linguistics; speaker recognition; speech synthesis; acoustic analysis; electronic voice conversion system; linguistic; voice analysis; voice identity feature; voice impersonation; Acoustics; Educational institutions; Frequency measurement; Noise measurement; Pragmatics; Speech; Standards; impersonator; language independent; prosodic; voice identity; voice-over artist;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo (ICME), 2012 IEEE International Conference on
Conference_Location
Melbourne, VIC
ISSN
1945-7871
Print_ISBN
978-1-4673-1659-0
Type
conf
DOI
10.1109/ICME.2012.142
Filename
6298442
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