A Unified Parser for Developing Indian Language Text to Speech Synthesizers

2016 ◽  
pp. 514-521 ◽  
Author(s):  
Arun Baby ◽  
Nishanthi N.L. ◽  
Anju Leela Thomas ◽  
Hema A. Murthy
Keyword(s):  
Text To Speech ◽  
Indian Language ◽  
Language Text

scholarly journals A Context-based Numeral Reading Technique for Text to Speech Systems

2018 ◽  
Vol 8 (6) ◽  
pp. 4533
Author(s):  
Soumya Priyadarsini Panda ◽  
Ajit Kumar Nayak
Keyword(s):  
Execution Time ◽  
Indian Languages ◽  
Text To Speech ◽  
Indian Language ◽  
Novel Technique ◽  
Input Text ◽  
Reading Technique ◽  
Intelligible Speech ◽  
Language Text

This paper presents a novel technique for context based numeral reading in Indian language text to speech systems. The model uses a set of rules to determine the context of the numeral pronunciation and is being integrated with the waveform concatenation technique to produce speech out of the input text in Indian languages. For this purpose, the three Indian languages Odia, Hindi and Bengali are considered. To analyze the performance of the proposed technique, a set of experiments are performed considering different context of numeral pronunciations and the results are compared with existing syllable-based technique. The results obtained from different experiments shows the effectiveness of the proposed technique in producing intelligible speech out of the entered text utterances compared to the existing technique even with very less storage and execution time.

scholarly journals Development of TTS Engine for Indian Accent using Modified HMM Algorithm

2018 ◽  
Vol 2 (2) ◽  
pp. 92
Author(s):  
Sasanko Sekhar Gantayat
Keyword(s):  
Operating Systems ◽  
Reading Disabilities ◽  
Visual Impairments ◽  
Text To Speech ◽  
Home Computer ◽  
Software Applications ◽  
Normal Language ◽  
Language Text

A text-to-speech (TTS) system converts normal language text into speech. An intelligent text-to-speech program allows people with visual impairments or reading disabilities, to listen to written works on a home computer. Many computer operating systems and day to day software applications like Adobe Reader have included text-to-speech systems. This paper is presented to show that how HMM can be used as a tool to convert text to speech.

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