مشاهده مشخصات مقاله
Letter to Sound Using Classification and Regression Trees
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نویسنده (ها) |
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Mohammad Mehdi Homayounpour
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Mohammad Izadi
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مربوط به کنفرانس |
دوازدهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
Letter To Sound (LTS) is one of the necessary modules in a modern Text To Speech (TTS) system. In this paper
Classification and Regression Trees (CART) are used for Farsi Letter to Sound conversion. LTS CART tree is trained
using parameters extracted from training text. This tree is then used for determining phone sequence of those words
whose phonetic transcription do not exist in TTS lexicon. For evaluation of the LTS technique, different Farsi databases
including words and their phonetic transcriptions are used. A LTS performance of 70% was obtained. A good selection
of training database and an appropriate coverage of Farsi phonetic features are important aspects for obtaining a good
system for Farsi LTS. |
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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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