![]() In addition to ordinary words and names, real text contains non-standard “words" (NSWs), including numbers, abbreviations, dates, currency amounts and acronyms. ![]() Hence we will get a speech which is close to the natural. Once we have done normalization perfectly we will also be able top perform phonetic analysis appropriately based on the properly normalized words. Normalization solves ambiguity problem and increases correctness. Using these modules we can recognize the type of each word clearly and find out the dependency of the words in a sentence. In Normalization process we have used some modules for example stemming, phrase analysis, expansion rules altogether for analyzing a sentence properly which has never been used in Bengali text to speech synthesis. Most important feature of the proposed architecture is the way we have done the Normalization. Text Normalization, Phonetic Analysis, Prosodic Analysis and Wave Synthesis are discussed for designing Bengali text to speech. This paper demonstrates on the architectural design of Text-to-Speech for Bengali language. Text to Speech is very well established in English language, and it has been considered as very important module for the modern Human Computer Interaction (HCI) systems. As a result, the audible clicks in the concatenation points are removed and speech with much better quality is generated. In the process of doing this, we detected correct pitch mark locations of diphones, detected voiced and unvoiced speech frames of diphones and finally concatenated those diphones using TDPSOLA after rescaling them to remove energy mismatches. This paper addresses the problem of audible discontinuities at the concatenation points of diphones in Bengali speech synthesizer Subachan and solving it using TDPSOLA. To solve this problem, several signal processing concatenation algorithms exist, such as TDPSOLA, FDPSOLA, MBROLA etc. It is usual to have distortions in the concatenation points in concatenative speech synthesis, and therefore generating audible clicks in the synthesized speech. After changing pitch and speed of this machine voice we get our final robotic voice which will be used in RIBO as his voice.Ĭreating an intelligible as well as a natural text to speech synthesizer has been the ultimate goal of researchers for the past 30 years and concatenative synthesis provides the most natural speech. mp3 file using the characteristics of diode and ring modulator concept to get machine voice. Google TTS synthesizer system produces speech as audio object file which can be converted to. Hence, we use google text to speech system to produce bengali speech from any bengali written text. Among these TTS synthesizer system google TTS system for bengali is better. There are existed some text to speech synthesizer system which can convert bengali text to bengali speech. ![]() In this article, we propose a method which will convert bengali text to speech in robotic voice using google text to speech system and ring modulator. One of the parts to communicate with human is convert bengali text to bengali speech in robotic voice. Now the 'ROBO SUST' team is trying to develop the RIBO so that it can communicate with human. RIBO is able to hands and eyes ups and downs, can walk very slowly and can speak some Bengali recorded sentences. This robot is designed and developed by 'ROBO SUST' team of Shahjalal University of Science and Technology. This is just for control purposes and this information will not be used for other finalities.RIBO is the first social interaction robot in Bangladesh. To access the download page, please complete the following fields. The authors (or their institutions) have no liabilities in respect of errors in the software, in the documentation and in any consequence of erroneous results or damages arising out of the use or inability to use this software. This software is distributed WITHOUT ANY WARRANTY. Would be greatly appreciated when publishing works done with them. TTS_SOFTWARE: Rius,J., Vallcorba,O., Frontera,C., Peral,I., Crespi,A., Miravitlles,C.TALP & RIBOLS: Vallcorba, O., Rius, J., Frontera, C., Miravitlles, C.DAJUST: Vallcorba, O., Rius, J., Frontera, C., Peral, I.The permission for using this software expires by end of 2020 and then it must be deleted. Further distribution of this software is not allowed. For any other purpose, please contact directly with the principal author. Conditions of use: The software that can be downloaded from this page can be used free of charge for non-commercial academic purposes only.
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