DocumentCode :
3445015
Title :
Analysis, modelling and synthesis of formants of British, American and Australian accents
Author :
Yan, Qin ; Vaseghi, Saeed
Author_Institution :
Dept. of Electron. & Comput. Eng., Brunel Univ., Uxbridge, UK
Volume :
1
fYear :
2003
fDate :
6-10 April 2003
Abstract :
The formant space of three major English accents namely British, American and Australian are modelled and used for accent conversion. Accent synthesis, through modification of the acoustic parameters of speech, provides a means for assessing the perceptual contribution of each parameter on conveying an accent. An improved method based on a linear prediction (LP) model feature analysis and a 2D hidden Markov model (HMM) is employed for estimation of formant trajectories of vowels and diphthongs. Comparative analysis of the formant space of the three accents indicates that these accents are partly conveyed by the fronting and backing of vowels. It is found that the first formants of the vowels of British and American English accents are higher than those in Australian accent while Australians have higher second formants in vowels compared to Americans and British. The estimates of the distributions of formants for each accent are used in a speech synthesis system for accent conversion. Perceptual evaluations of accent conversion results illustrate that formants, in particular the second formant, play an important role in conveying accents.
Keywords :
feature extraction; hidden Markov models; modelling; parameter estimation; prediction theory; probability; speech processing; speech recognition; speech synthesis; 2D HMM; American accent; Australian accent; British accent; English accents; LP model feature analysis; accent conversion; accent synthesis; acoustic parameters; comparative analysis; diphthongs; distribution estimates; formant synthesis; formant trajectory estimation; hidden Markov model; linear prediction model; modelling; perceptual contribution; second formant; speech synthesis; vowel backing; vowel fronting; Australia; Automatic speech recognition; Hidden Markov models; Linear predictive coding; Loudspeakers; Natural languages; Speech analysis; Speech synthesis; Tongue; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-7663-3
Type :
conf
DOI :
10.1109/ICASSP.2003.1198880
Filename :
1198880
Link To Document :
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