This paper describes the analysis results on the control factors of Thai syllable duration, and a statistical control model using linear regression technique. The analyses have been carried out both at a syllable level and at a phrase level. In a syllable level duration control, the effects of five Thai tones and syllable structures are investigated. To analyze syllable structure effects statistically, we applied the quantification theory with two linguistic factors: (1) phone categories by themselves, and (2) the categories grouped by articulatory similarities. In a phrase level, the effects of position in a phrase and syllable counts in a phrase were analyzed. The experimental results showed that tones, syllable structures, and position in a phrase play significant roles on syllable duration control. Syllable counts in a phrase slightly affects the syllable duration. These analysis results have been integrated into a statistical control model. The duration assignment precision of the proposed model is evaluated using 2480-word speech data. Total correlation 0.73 between predicted values and observed values for test set samples shows the fair precision of the proposed control model.
[1]
Stephen Isard,et al.
Segment durations in a syllable frame
,
1991
.
[2]
Yoshinori Sagisaka,et al.
On sentence-level factors governing segmental duration in Japanese
,
1989
.
[3]
T. Luangthongkum,et al.
Rhythm in standard Thai
,
1978
.
[4]
Virach Sornlertlamvanich,et al.
Improving naturalness of Thai text-to-speech synthesis by prosodic rule
,
2000,
INTERSPEECH.
[5]
Yoshinori Sagisaka,et al.
Statistical modelling of speech segment duration by constrained tree regression
,
2000
.
[6]
M. D. Riley.
Tree-based modeling of segmental durations
,
1992
.
[7]
Chikio Hayashi.
On the quantification of qualitative data from the mathematico-statistical point of view
,
1950
.
[8]
Gérard Bailly,et al.
Talking Machines: Theories, Models, and Designs
,
1992
.