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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | Tulu Text Recognition with Speech Based Output |
| Authors Name: | Rekha A A , Shreya D K , Shradha , Prakash , Avish v Shetty |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_205492
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| Published Paper Id: | IJRTI2507141 |
| Published In: | Volume 10 Issue 7, July-2025 |
| DOI: | https://doi.org/10.56975/ijrti.v10i7.205492 |
| Abstract: | The Tulu language, spoken predominantly in the coastal region of Karnataka, India, possesses a rich cultural heritage and a unique script. Despite its historical significance, the Tulu script is underrepresented in the digital realm. This paper presents a Tulu language character recognition system designed to bridge this digital gap. The system processes images containing handwritten Tulu characters and outputs the corresponding text in English. The workflow begins with pre- processing the images to enhance quality and normalize variations. This is followed by image segmentation using region- based techniques to isolate individual characters. A Convolutional Neural Network (CNN) model, trained on a comprehensive dataset, is then employed for the classification and recognition of these characters. The system meticulously recognizes each character, ensuring best recognition efficiency achieved for Tulu characters from collected dataset. The results verified that the proposed methodology outperforms from the present state of art models. To further enhance the system's utility, the recognized text is mapped to pre-recorded audio clips corresponding to each character. These audio clips are then synthesized sequentially to generate a complete auditory output, providing a spoken version of the recognized character. This feature not only enriches the accessibility of the Tulu language in digital formats but also promotes its preservation and dissemination by catering to auditory learners and visually impaired users. |
| Keywords: | Convolutional Neural Network (CNN), Speech synthesis, Audio-text mapping |
| Cite Article: | "Tulu Text Recognition with Speech Based Output", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 7, page no.b285-b291, July-2025, Available :http://www.ijrti.org/papers/IJRTI2507141.pdf |
| Downloads: | 000473 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2507141
Registration ID:205492
Published In: Volume 10 Issue 7, July-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i7.205492
Page No: b285-b291 Country: Mangalore, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2507141 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2507141 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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