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 30th April 2019. 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.
Duration of the internship: Last week of May to Last week of July (Tentatively)
Selected students may be paid stipend for the period of internship subjective to availability of funds.
Please send the filled alpplication to the following address given below or a scan copy to given email.
Dr. Ch. V. Rama Rao
Principle Investigator (SERB, DST Sponsored project)
Assistant Professor & HoD, Department of ECE
NIT Meghalaya, Bijni Complex, Laitumkhrah,
Shillong – 793003