Abstract
Natural Language Processing plays an important role in any Text to Speech (TTS) system. The raw text given as input to TTS may consist of numbers, dates, time, acronyms or symbols. NLP processes the raw text and converts it in the form that can be used by TTS to generate its corresponding speech. NLP consists of three parts, "Text Processing", "Text Annotation" and "Phonological Annotation". This paper enhances earlier work and details the text processing in NLP from the perspective of Urdu and also reports the results given by NLP.
Rida Hijab Basit, Sarmad Hussain. (2014) Text Processing For Urdu TTS System, Conference on Language and Technology 2014.
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Publisher
Center for Language Engineering
Country
Pakistan
City
Karachi
From
13-11-2014
To
15-11-2014