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Sign

The document discusses a methodology for converting sign language into speech or text using machine learning algorithms, specifically focusing on American Sign Language (ASL). It outlines the development of a vision-based application that interprets sign language on an embedded device, utilizing deep learning techniques and a dataset split into training and test data. The research aims to enhance communication for the deaf and mute community through image and speech processing technologies.

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kota naik
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37 views1 page

Sign

The document discusses a methodology for converting sign language into speech or text using machine learning algorithms, specifically focusing on American Sign Language (ASL). It outlines the development of a vision-based application that interprets sign language on an embedded device, utilizing deep learning techniques and a dataset split into training and test data. The research aims to enhance communication for the deaf and mute community through image and speech processing technologies.

Uploaded by

kota naik
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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CONVERSION OF SIGN LANGUAGE

INTO SPEECH OR TEXT USING


MACHINE LEARNING ALGORITHMS

Abstract:
Exchange of words among the community is one of the essential
mediums of survival. These people communicate using "Sign
Language" among their communities which has its own meaning,
grammar and lexicons, and it may not be comprehensible for every
other individual. Our proposed methodology focuses on creating a
vision-based application that interprets the sign language into
understandable speech or text on an embedded device and this is done
using deep learning techniques and machine learning algorithms. The
dataset has been split into training data and test data in the ratio 9:1.
This work involves Machine Lerning, IoT and Python Language.
mage and speech processing is one of the trending research areas in
machine learning that contributes immensely to the field of artificial
intelligence. It enhances raw images received from gadgets such as
camera or a mobile phone in normal day-today life for various
applications. Conversion of images to text as well as speech can be of
great benefit to the non-physically and physically challenged people
(the deaf/mute) from circadian interaction with images. To effectively
achieve this, a sign language (ASL-American Sign Language) image
to text as well as speech conversion is aimed at in this research.
Keywords—Machine Learning, Raspberry pi, Indian Sign Language,
hand gesture recognition.

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