Dated: 17-03-2020

Project Title: Masking of interfering sounds in a crowded environment for hearing aid applications

Description: This project involves development of algorithm for increasing of speech intelligibility for hearing-impaired listeners in the presence of competing sounds. Identification of various features those distinguish interfering sounds from the target speech. Development of deep neural network (DNN) based algorithm to address this problem. A deep neural network is trained to estimate the mask for a target talker in the presence of competing sounds based on auditory processing model.

Students pursuing the 3rd year of B.E./B.Tech. /B.Sc. (Engg) or 3rd or 4th year of Integrated M.E./M.Tech. programme, 1st year of ME/M. Tech with an excellent academic background in terms of high ranks in university examinations are encouraged to apply on or before 15th April 2020.  Students are requested to highlight their academic performance and achievement including papers presented in seminars, projects executed, design contests engaged, score/rank at Mathematics Olympiad and any other awards/distinctions obtained. 

Selected students may be paid stipend for the period of internship subjective to availability of funds.

Download Application Form



Dr. Ch. V. Rama Rao 

Principle Investigator (SERB, DST Sponsored project)

Assistant Professor & HoD, Department of ECE

NIT Meghalaya, Bijni Complex, Laitumkhrah,

Shillong – 793003