A Novel Machine Learning Based Two-Way Communication System for Deaf and Mute

نویسندگان

چکیده

Deaf and mute people are an integral part of society, it is particularly important to provide them with a platform be able communicate without the need for any training or learning. These rely on sign language, but effective communication, expected that others can understand language. Learning language challenge those no impairment. Another have system in which hand gestures different languages supported. In this manuscript, presented provides communication between deaf (DnM) non-deaf (NDnM). The DnM acquired processed using deep learning, multiple support achieved supervised machine NDnM provided audio interface where converted into speech generated through sound card computer. Speech from microphone input text. easy use low cost. modular enhanced by adding data more future. A learning dataset defined created automated multi-language people. It will communicating effectively restoring feeling normalcy their daily lives. gesture detection accuracy than 90% most, while certain scenarios, 80% due variations validated evaluated series experiments.

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ژورنال

عنوان ژورنال: Applied sciences

سال: 2022

ISSN: ['2076-3417']

DOI: https://doi.org/10.3390/app13010453