Kannada Text to Speech Conversion System
Pawan S Nadig1, Pooja G2, Kavya D3, R Chaithra4, Radhika A D5
1Pawan S Nadig, Department of Computer Science and Engineering Vidyavardhaka College of Engineering Mysuru, India.
2Pooja G, Department of Computer Science and Engineering Vidyavardhaka College of Engineering Mysuru, India.
3Kavya D, Department of Computer Science and Engineering Vidyavardhaka College of Engineering Mysuru, India.
4R Chaithra, Department of Computer Science and Engineering Vidyavardhaka College of Engineering Mysuru, India.
5Radhika A D, Department of Computer Science and Engineering Vidyavardhaka College of Engineering Mysuru, India.
Manuscript received on July 13, 2020. | Revised Manuscript received on July 27, 2020. | Manuscript published on August 10, 2020. | PP: 288-293 | Volume-9 Issue-10, August 2020 | Retrieval Number: 100.1/ijitee.J74700891020 | DOI: 10.35940/ijitee.J7470.0891020
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The following paper describes the design of a system which does text to speech generation for one of the regional language’s Kannada. The printed document of Kannada text is given as input to the system, the system then converts the document to an image format. Pre-processing is done to stabilize the intensity of the images and clear the artifacts. This process boosts the precision and interpretability of an image. Optical Character Recognition (OCR) is used to unsheathe the segmented characters from a particular image and are matched with the characters that have been stored in the dataset. Once the matched characters are extracted it is stored in a suitable format and then the TTS engine is deployed to convert the saved Kannada characters to a speech format. The obtained speech output corresponds to the characters which are collected after processing the input text.
Keywords: Image, Kannada, OCR, Pre-processing, Text-to-Speech.
Scope of the Article: Signal and Image Processing