Abstract
Hearing-impaired people do not hear indoor and outdoor environment sounds, which are important for them both at home and outside. By means of a wearable device that we have developed, a hearing-impaired person will be informed of important sounds through vibrations, thereby understanding what kind of sound it is. Our system, which operates in real time, can achieve a success rate of 98% when estimating a door bell ringing sound, 99% success identifying an alarm sound, 99% success identifying a phone ringing, 91% success identifying honking, 93% success identifying brake sounds, 96% success identifying dog sounds, 97% success identifying human voice, and 96% success identifying other sounds using the audio fingerprint method. Audio fingerprint is a brief summary of an audio file, perceptively summarizing a piece of audio content. In this study, our wearable device is tested 100 times a day for 100 days on five deaf persons and 50 persons with normal hearing whose ears were covered by earphones that provided wind sounds. This study aims to improve the quality of life of deaf persons, and provide them a more prosperous life. In the questionnaire performed, deaf people rate the clarity of the system at 90%, usefulness at 97%, and the likelihood of using this device again at 100%.
Highlights
Sound is a biometric feature used to distinguish people or species from one another
The wearable device we have developed has been tested by three men whose average age is 41 and two women whose average age is 33
The results show that the method we have developed has advantages over conventional methods, as it produces real-time results and achieves a high success rate
Summary
Sound is a biometric feature used to distinguish people or species from one another. By processing an existing audio signal, it is possible to detect whether this sound comes from a human or another object. Since voices differ from one person to another, they can be used for voice recognition purposes. It is possible to control or direct various devices through words obtained from sound signals. The processing and use of an audio signal is very important [1]. Hearing is a very important sensory function for people. Developing a device that can perceive and classify various voices at home, and thereby improve the quality of life for hearing impaired people, is regarded as a basic requirement
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