Work place: School of Computer Sciences, North Maharashtra University, Jalgaon (MS-India).
E-mail: shyam.ramteke@gmail.com
Website:
Research Interests: Speech Synthesis, Speech Recognition, Computer systems and computational processes
Biography
G. D. Ramteke, male, is a research fellow at School of Computer Sciences in North Maharashtra University, Jalgaon. He received the MCA degree from North Maharashtra University, Jalgaon in 2010. He has been presently working toward the Ph.D. degree (Computer Science) since May, 2014. His research interests include Text-to-Speech Synthesis, Speech Enhancement, Speech Recognition and Speech Cryptography
By G. D. Ramteke R. J. Ramteke
DOI: https://doi.org/10.5815/ijigsp.2017.03.01, Pub. Date: 8 Mar. 2017
The paper proposes a numerical TTS-synthesis system in Marathi, Hindi and English languages. The system is in audible forms based on the sounds generated from several numeric units. A hybrid technique is newly launched for a numerical text-to-speech technology. The technique is divided into different phases. These numerical phases include pre-processing, numeric unit detection, numeric and speech unit matching; speech unit concatenation and speech generation. In order to enhance the syntactic generation of audible forms in three languages, two discipline tests were performed. The prosodic test has been obtained for evaluating on the statistical readings. Overall quality issue (OQI) test is a subjective test which is performed by various persons who are aware of three mentioned languages. On the basis of two distinct parameters of OQI test, all scores are positively provided. Initial parameter compromises with listening quality. The second parameter, awareness rate improves a level of the intelligibility. The ultimate satisfactory results of artificial sound generation in three unrelated languages were touched to humankind voice.
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