Sound classification using deep learning for hard of hearing and deaf people

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Opis bibliograficzny
Główni autorzy:	Habib, Md.Adnan, Arefeen, Zarif Raiyan, Hussain, Arafat, Shahriyer, S.M.Rownak, Islam, Tanzid
Kolejni autorzy:	Parvez, Mohammad Zavid
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2022
Hasła przedmiotowe:	RNN CNN melspectrogram Audio feature extraction Neural networks (Computer science)
Dostęp online:	http://hdl.handle.net/10361/16565

Opis
Streszczenie:	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Podobne zapisy