Landmark-based audio fingerprinting algorithm for a transmitter-less alert recognition device for the hearing-impaired

• Main Authors: Abinoja, Daniel Dominic, Roque, Marielle Anne, Atienza, Rumel, Materum, Lawrence
• Format: text
• Published: Animo Repository 2016
• Subjects: Assistive listening systems; Biometric identification; Auditory scene analysis; Electrical and Computer Engineering; Electrical and Electronics
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1990
• Institution: De La Salle University

Assistive devices for the hearing impaired have been developed to assist them through various techniques such as peripheral awareness and alerting systems. The disadvantage of presently available alerting systems is its fixed wired or wireless connection to the alert transmitter. This study focused on providing an alternative to these alerting systems in overcoming the transmitter dependence limitation. The researchers developed and integrated a real-time landmark-based audio fingerprinting and recognition algorithm for the implementation in a portable transmitter-less device which would notify the hearing impaired through combination of visual and vibrational cues when recognizing audio alert or warning signals. © 2015 IEEE.