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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.06485 |
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| _version_ | 1866909947423358976 |
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| author | Revankar, Kush Deshpande, Shreyas Sayeed, Araham Tandale, Ansh Bobde, Sarika |
| author_facet | Revankar, Kush Deshpande, Shreyas Sayeed, Araham Tandale, Ansh Bobde, Sarika |
| contents | Communication between deaf users, visually im paired users, and the general hearing population often relies on tools that support only one direction of interaction. To address this limitation, this work presents Sanvaad, a lightweight multimodal accessibility framework designed to support real time, two-way communication. For deaf users, Sanvaad includes an ISL recognition module built on MediaPipe landmarks. MediaPipe is chosen primarily for its efficiency and low computational load, enabling the system to run smoothly on edge devices without requiring dedicated hardware. Spoken input from a phone can also be translated into sign representations through a voice-to-sign component that maps detected speech to predefined phrases and produces corresponding GIFs or alphabet-based visualizations. For visually impaired users, the framework provides a screen free voice interface that integrates multilingual speech recognition, text summarization, and text-to-speech generation. These components work together through a Streamlit-based interface, making the system usable on both desktop and mobile environments. Overall, Sanvaad aims to offer a practical and accessible pathway for inclusive communication by combining lightweight computer vision and speech processing tools within a unified framework. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_06485 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Sanvaad: A Multimodal Accessibility Framework for ISL Recognition and Voice-Based Interaction Revankar, Kush Deshpande, Shreyas Sayeed, Araham Tandale, Ansh Bobde, Sarika Computer Vision and Pattern Recognition Communication between deaf users, visually im paired users, and the general hearing population often relies on tools that support only one direction of interaction. To address this limitation, this work presents Sanvaad, a lightweight multimodal accessibility framework designed to support real time, two-way communication. For deaf users, Sanvaad includes an ISL recognition module built on MediaPipe landmarks. MediaPipe is chosen primarily for its efficiency and low computational load, enabling the system to run smoothly on edge devices without requiring dedicated hardware. Spoken input from a phone can also be translated into sign representations through a voice-to-sign component that maps detected speech to predefined phrases and produces corresponding GIFs or alphabet-based visualizations. For visually impaired users, the framework provides a screen free voice interface that integrates multilingual speech recognition, text summarization, and text-to-speech generation. These components work together through a Streamlit-based interface, making the system usable on both desktop and mobile environments. Overall, Sanvaad aims to offer a practical and accessible pathway for inclusive communication by combining lightweight computer vision and speech processing tools within a unified framework. |
| title | Sanvaad: A Multimodal Accessibility Framework for ISL Recognition and Voice-Based Interaction |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2512.06485 |