Raspberry Pi may well be one board, more performance portable computer. We tend to mistreatment this method to extracting text and convert it to speech to help the blind people. By this devices, we tend too would like to change our users to pay attention to the captured photo. Ideas of OCR and TTS is been combined throughout the design. In the improvement of extraction by simply hearing the sound could likewise be specific duty. Discourse is the sign extra viable methods for correspondence instead of text because of visually impaired and moronic people will even answer to sounds. This paper intends to foster a value viable, and eco-accommodating optical character acknowledgment (OCR) basically based discourse blend framework. The OCR essentially based discourse acknowledgment has been created design Laboratory virtual instruments designing workbench (LabVIEW). The content being all over in our everyday life, either among the sort of archives like papers, books, sends, magazines, or so forth the sort of normal scenes signs, screen, plans which can be check by a customary individual. Tragically, the visually impaired and outwardly impeded individual unit underclass from such information, because of their vision inconveniences don't adjust them to approach of this matter information that restricts their quality in at freedom conditions. The outwardly debilitated can act with their setting as that of a sharp-looked at individual.
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22 May 2023
ADVANCEMENTS IN AEROMECHANICAL MATERIALS FOR MANUFACTURING: ICAAMM-2021
27–28 August 2021
Hyderabad, India
Research Article|
May 22 2023
A novel OCR system developed to synthesize speech from text using Raspberry Pi Available to Purchase
P. Anjaneyulu;
P. Anjaneyulu
a)
1
Department of Electronics and Communication Engineering, MLR Institute of Technology
, Hyderabad, India
a)Corresponding author: [email protected]
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M. V. S. Deekshitha;
M. V. S. Deekshitha
1
Department of Electronics and Communication Engineering, MLR Institute of Technology
, Hyderabad, India
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P. Sridevi;
P. Sridevi
1
Department of Electronics and Communication Engineering, MLR Institute of Technology
, Hyderabad, India
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P. Srilekha;
P. Srilekha
1
Department of Electronics and Communication Engineering, MLR Institute of Technology
, Hyderabad, India
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K. Prudvi Reddy
K. Prudvi Reddy
1
Department of Electronics and Communication Engineering, MLR Institute of Technology
, Hyderabad, India
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P. Anjaneyulu
1,a)
M. V. S. Deekshitha
1
P. Sridevi
1
P. Srilekha
1
K. Prudvi Reddy
1
1
Department of Electronics and Communication Engineering, MLR Institute of Technology
, Hyderabad, India
a)Corresponding author: [email protected]
AIP Conf. Proc. 2492, 030050 (2023)
Citation
P. Anjaneyulu, M. V. S. Deekshitha, P. Sridevi, P. Srilekha, K. Prudvi Reddy; A novel OCR system developed to synthesize speech from text using Raspberry Pi. AIP Conf. Proc. 22 May 2023; 2492 (1): 030050. https://doi.org/10.1063/5.0118782
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