G2OCR: Integrating Speech Recognition and Optical Character Recognition(OCR) for Automated Transcription of Gujarati Audio-Visual Content
The rapid boom of virtual content in neighborhood languages together with Gujarati has created demanding situations in accessibility and searchability. A sizable part of this content material, in particular audio and video, stays inaccessible to people with listening to impairments due to the lack of transcriptions. additionally, the absence of a searchable layout limits discoverability. G2OCR objectives is to provide a solution through transcribing Gujarati audio-visible content via a gadget that leverages speech recognition and optical individual recognition (OCR) technology. This approach enhances accessibility and preserves the language via making content more searchable. constructing on earlier studies, G2OCR integrates superior strategies to supply a robust device ideal for a selection of environments.
Authors
- Asif Shaikh (ORCID: https://orcid.org/0000-0003-1458-3836)
- Salim Shaikh (ORCID: https://orcid.org/0000-0002-0768-1158)
- Sayed Feroz Shah
- Jawad Deshmukh
- Ashfan Bargir
Publication Details
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1109/icuis64676.2024.10866606
- Primary Topic
- Vehicle License Plate Recognition
- Type
- article
- Field-Weighted Citation Impact
- 0.00