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Utkal University We Work On

Utkal University We Work On. Image Processing Speech Processing Knowledge Management. Image Processing. (A) Optical Character Recognition (OCR): Ø Converts scanned Oriya content to text Ø An OCR with TTS - DIVYADRUSTI Ø User - Press, Media & Educational Institutes

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Utkal University We Work On

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  1. Utkal UniversityWe Work On Image Processing Speech Processing Knowledge Management

  2. Image Processing • (A) Optical Character Recognition (OCR): • Ø Converts scanned Oriya content to text • Ø An OCR with TTS - DIVYADRUSTI • Ø User - Press, Media & Educational Institutes • Ø Operates in command mode so useful for Illiterate and Visually Challenged. • Ø Got IPR & Tested by SQTC, ETDC Banglore. • (B)English Reader System • ØUses English OCR System • ØIntegrated with Microsoft Text To Speech Engine • Ø And Speech To Text Engine to operate in command mode.

  3. Speech Processing • (A) Text To Speech (TTS) System: • ØSpeech synthesizer for Oriya language is designed by the character based concatenation technique. • ØThe transition between two characters is stored by taking the help of Paninian philology to give a natural shape to the output. • ØIn addition to Oriya language we are in the process of developing a TTS system for Hindi in syllable base concatenation • ØGot IPR & Tested by SQTC, ETDC Banglore • (B) Speech To Text (STT) system: • ØRecognising words, designed through a training process of phones, diphones and triphones. • ØTelephone Directory system based on Oriya character recognition system. • Ø Applied for IPR.

  4. Knowledge Management • Machine Translation Normal sentences with WSD • Lexical Resources • (A) e-Dictionary (Oriya EnglishHindi) – Got IPR. and Tested by SQTC, ETDC Banglore 27,000 Oriya, 30,000 English and 20,000 Hindi words. • (B) Oriya WordNet withMorphological Analyzer. • Got IPR. , Tested by SQTC, ETDC, Banglore -1,000 Lexicon. • (C) Ori-Spell (Oriya Spell Checker) • Got IPR , Tested by SQTC, ETDC Banglore, 1,70,000 words (root and derived). • (D) Trilingual Word Processor (Hindi- English-Oriya) • Integrated with Spell Checker and Grammar Checker.

  5. KM(Sanskrit) • San-Net(Sanskrit Word-Net) • Developed using Navya-NyAya()Philosophy and Paninian Grammar • Beside Synonym, Antonym, Hypernym, Hyponym, Holonym and Meronyms etc., some more relation such as: Analogy, Etymology, Definition, Nominal Verb, Nominal Qualifier, Verbal Qualifier and Verbal Noun have been introduced in San-Net. • San-Net can be used for Indian language understanding, translating, summarizing and generating. • A standard Knowledge Base (KB) has been developed for analyzing syntactic, semantic and pragmatic aspects of any lexicon.

  6. Present Interest • Hand Written Recognition of old scripts using Neural Network • OCR for Brhami Script • Automatic Speech Recognition System • Speaker Recognition and Accent Analysis using HMM • TTS for other languages (Indian) to make Reader System • Sanskrit WordNet based Machine Translation System • Morphological Analyser for Sanskrit • Navya Nyaya Philosophy to be extensively used for it. • Help to have better WSD as NNP provides a effective Conceptual analysisng capability.

  7. Thank you

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