Urban sound classification using convolutional Neural Network and long short term memory based on multiple features
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.
Main Authors: | Das, Joy Krishan, Ghosh, Arka, Pal, Abhijit Kumar, Dutta, Sumit |
---|---|
Andre forfattere: | Chakraborty, Amitabha |
Format: | Thesis |
Sprog: | English |
Udgivet: |
Brac University
2021
|
Fag: | |
Online adgang: | http://dspace.bracu.ac.bd/xmlui/handle/10361/14444 |
Lignende værker
-
Detection of amyotrophic lateral sclerosis using signal processing and machine learning
af: Ali, Zohair Mehtab
Udgivet: (2020) -
Speech command classification based on deep neural networks
af: Hossain, Md. Sakib, et al.
Udgivet: (2023) -
A convolutional neural network based model with improved activation function and optimizer for effective intrusion detection and classification
af: Kabir, Solaiman, et al.
Udgivet: (2021) -
Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
af: Ahasan, Md. Mubtasim, et al.
Udgivet: (2022) -
A textbook of sound ; [for B.Sc.(Pass Honours and Subsidiary),Engineering sutdunts of Indian University and IAS Examination] /
af: Subrahmanyam, N.
Udgivet: (1995)