The DOI matches its Crossref record; 14 of the 15 references it cites were found in a registry or an index.
Smart Specs: Voice assisted text reading system for visually impaired persons using TTS method
Abstract
According to the World Health Organization, out of 7.4 billion population around 285 million people are estimated to be visually impaired worldwide. It is observed that they are still finding it difficult to roll their day today life and it is important to take necessary measure with the emerging technologies to help them to live the current world irrespective of their impairments. In the motive of supporting them We have proposed a smart spec for the blind persons which can perform text detection thereby produce a voice output. This can help the visually impaired persons to read any printed text in vocal form. A specs inbuilt camera is used to capture the text image from the printed text and the captured image is analyzed using Tesseract-Optical Character recognition (OCR). The detected text is then converted into speech using a compact open source software speech synthesizer, eSpeak. Finally, the synthesized speech is produced by the headphone by TTS method. In this project Raspberry Pi is the main target for the implementation, as it provides an interface between camera, sensors, and image processing results, while also performing functions to manipulate peripheral units (Keyboard, USB etc.,).
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“It makes easy for users to buy from a list”
From Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies (2019) · cites this paper as [53]
Citations
Cites
Tactile Acuity is Enhanced in Blindness
Goldreich, D., & Kanics, I. M. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-08-03439.2003 · Cited by 446
Camera-based analysis of text and documents: a survey
Liang, J., Doermann, D., & Li, H. (2005) · International Journal on Document Analysis and Recognition (IJDAR) · doi:10.1007/s10032-004-0138-z · Cited by 421
The IBM expressive text-to-speech synthesis system for American English
Pitrelli, J. F., Bakis, R., Eide, E. M., Fernandez, R., Hamza, W., & Picheny, M. (2006) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/tasl.2006.876123 · Cited by 128
Blindness enhances tactile acuity and haptic 3-D shape discrimination
Norman, J. F., & Bartholomew, A. N. (2011) · Attention Perception & Psychophysics · doi:10.3758/s13414-011-0160-4 · Cited by 101
Yi, C., Tian, Y., & Arditi, A. (2014) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2013.2261083 · Cited by 97
Using speech recognition for real-time captioning and lecture transcription in the classroom
Ranchal, R., Taber‐Doughty, T., Guo, Y., Bain, K., Martin, H., Robinson, J. P., & Duerstock, B. S. (2013) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2013.21 · Cited by 96
Wearable Real-Time Stereo Vision for the Visually Impaired
Balakrishnan, G., Sainarayanan, G., Nagarajan, R., & Yaacob, S. (2007) · Cited by 74
Sentence-Based Sentiment Analysis for Expressive Text-to-Speech
Trilla, A., & Álías, F. (2012) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/tasl.2012.2217129 · Cited by 67
Mobile Vision as Assistive Technology for the Blind: An Experimental Study
Manduchi, R. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-31534-3_2 · Cited by 56
Álías, F., Sevillano, X., Socoró, J. C., & Gonzalvo, X. (2008) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/tasl.2008.925145 · Cited by 37
Research works printed but not linked: 7
- marion, 2013, Assistive Technology for Visually Impaired and Blind, Springer-International Journal of Engineering and Technology, 4, 50
- apurvabakshi, 2014, Tech -NETRA (New Eyes to Read Artifact), International Journal of Science Engineering and Technology Research (IJSETR), 3, 482
- 2015, Text Detection and Recognition with Speech Output for Visually Challenged Person, Research Gate- International Journal of Engineering Research and Applications, 5, 84
- deepa, 2014, A Novel Model for Speech to Text Conversion, International Refereed Journal of Engineering and Science (IRJES), 3, 39
- joao, 2014, Text-to-Speech: Evaluating the Perception of Concurrent Speech by Blind People, International Journal of Computer Technology, 6, 1
- xiang, 2008, A Density-base Approach for Text Extraction in Images, Research Gate- International Journal of Communication and Engineering, 8, 239
- tapas, 2014, Text to Speech Conversion with Phonematic Concatenation, International Journal of Electronics Communication and Computer Technology (IJECCT), 2, 223
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Metadata
- Authors
- Ani, R., Maria, E., Joyce, J. J., Sakkaravarthy, V., & Raja, M. A.
- Affiliations
- Dr. N.G.P. Institute of Technology (IN)
- Venue
- 2017 International Conference on Innovations in Green Energy and Healthcare Technologies (IGEHT)
- Publisher
- IEEE
- Published
- 2017-03
- Pages
- 1-6
- OpenAlex
- W2766775179
- Cited by
- 48
- References
- 15
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 9 · 2023: 9 · 2022: 5 · 2021: 8 · 2020: 5 · 2019: 3 · 2018: 1
- FWCI
- 6.76
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Innovations in Green Energy and Healthcare Technologies (IGEHT) (publishedVersion)
- Topics
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Handwritten Text Recognition Techniques
- Keywords
- visually impaired assistance, text-to-speech, optical character recognition, Tesseract OCR, Raspberry Pi, smart glasses, assistive technology
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