مشاهده مشخصات مقاله
Generating F0 Contours for Speech Synthesis in Persian Language Using Classification and Regression Tree
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نویسنده (ها) |
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Majid Namnabat
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Abbas Koochari
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مربوط به کنفرانس |
دوازدهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
paper, we have used Tilt intonation theory to represent pitch contour as symbolic elements. Also, classification and
regression trees are considered to estimate Tilt parameters in our text-to-speech system. To train regression trees, about
70 minutes of speech are used as corpus and more than 100 input features are extracted from this corpus. Further, some
experiments such as incremental adding tilt parameters as input features during training and test models or purposing
stress syllables as accent events are examined to achieve optimal regression trees. Moreover, vector quantization
method and building a codebook of tilt parameters are investigated to predict pitch contours. Finally 61.1% and 25/386
hertz are obtained for correlation coefficient and RMSE values between predicted and real pitch contours of test set
using optimal regression trees. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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خرید مقاله
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