Music genre classification with convolutional neural network

Music genre classification with convolutional neural network

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

Bibliografiset tiedot
Päätekijät:	Chowdhury, Masud, Tilok, Ibnul Islam, Das, Prodipta, Chowdhury, Avoy, Anas, MD. Abdullah Al Masum
Muut tekijät:	Mostakim, Moin
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2022
Aiheet:	Music genre CNN Classification Feature extraction Accuracy Neural networks (Computer science)
Linkit:	http://hdl.handle.net/10361/17023

Samankaltaisia teoksia

Genre classification of movies using their synopsis
Tekijä: Rahman, Ramiz Ihteshamur, et al.
Julkaistu: (2018)

Gene classification and pattern analysis using data mining and machine learning techniques
Tekijä: Ramisa, Aiman Jabeen, et al.
Julkaistu: (2021)

Heartbeat sound feature extraction and classification
Tekijä: Bibrity, Fariha Chowdhury, et al.
Julkaistu: (2020)

Classification of Bangladeshi soil texture using convolutional neural network
Tekijä: Raj, Hafiz Mohiuddin, et al.
Julkaistu: (2023)

Sound classification using deep learning for hard of hearing and deaf people
Tekijä: Habib, Md.Adnan, et al.
Julkaistu: (2022)

A framework for sentiment analysis: a data-driven approach
Tekijä: Islam, Md. Jahedul, et al.
Julkaistu: (2021)

Classification of music based on correlation between mood, linguistic and audio features
Tekijä: Sobhan, Md. Mashrur Bari
Julkaistu: (2018)

Detection and prediction of epileptic seizure using different machine learning classifiers
Tekijä: Crystal, Afnan Ahmed, et al.
Julkaistu: (2023)

Leaf classification by feature extraction using CNN
Tekijä: Bhuiyan, Md. Mazharul Islam, et al.
Julkaistu: (2020)

Text classification using machine learning algorithms
Tekijä: Hasnat, Fahim, et al.
Julkaistu: (2018)

A system to prevent social violence using convolutional neural network
Tekijä: Akter, Sanzida, et al.
Julkaistu: (2023)

Speech command classification based on deep neural networks
Tekijä: Hossain, Md. Sakib, et al.
Julkaistu: (2023)

Clustering and detection of good and bad rail line anchors from images
Tekijä: Islam, Samiul, et al.
Julkaistu: (2017)

Vulgar and spam comment identification using Gluon Natural Language Processing and Convolution Neural Networks
Tekijä: Jahan, Rufyda
Julkaistu: (2019)

A new feature extraction technique for person identification
Tekijä: Muazzam, Shakib, et al.
Julkaistu: (2017)

Soiling type classification and prediction of power loss of a PV panel using CNN
Tekijä: Ahmed, Alvi, et al.
Julkaistu: (2021)

Detection of Parkinson’s disease from Neuro-imagery using deep neural network with transfer learning
Tekijä: Asaduzzaman, et al.
Julkaistu: (2021)

Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture
Tekijä: Shafique, Nadia, et al.
Julkaistu: (2023)

DWT based transformed domain feature extraction approach for epileptic seizure detection
Tekijä: Mostafa, Mahajabin, et al.
Julkaistu: (2021)

Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
Tekijä: Alhossen, Md., et al.
Julkaistu: (2021)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
Tekijä: Sakir, Adnan, et al.
Julkaistu: (2023)

A domain and noise adversarial bird tune classification pipeline using deep neural network
Tekijä: Riya, Aparna Sarker, et al.
Julkaistu: (2023)

Bangali Handwritten characters classification using Deep Convolutional Neural Network
Tekijä: Sikder, Shihab Uddin, et al.
Julkaistu: (2022)

An efficient approach for binary classification in brain tumor detection using convolutional neural network
Tekijä: Islam, MD. Arman, et al.
Julkaistu: (2023)

Detection of handwritten text using convolutional neural network
Tekijä: Jasim, Rabib Bin, et al.
Julkaistu: (2024)

A convolutional neural network based model with improved activation function and optimizer for effective intrusion detection and classification
Tekijä: Kabir, Solaiman, et al.
Julkaistu: (2021)

Image classification using deep neural network for efficient identification of traffic sign
Tekijä: Saha, Sourajit
Julkaistu: (2018)

A novel parallel texture feature extraction method using log-gabor filter and singular value decomposition (SVD)
Tekijä: Ratul, Md Aminur Rab, et al.
Julkaistu: (2018)

Classiﬁcation of damaged vegetation areas using convolutional neural network over satellite images
Tekijä: Haque, Samiha, et al.
Julkaistu: (2021)

An enhanced CNN model for classifying skin cancer
Tekijä: Haider, Kazi MD Minhajul, et al.
Julkaistu: (2022)

Deep learning-based waste classification system for efficient waste management
Tekijä: Nakib, Abdullah Al, et al.
Julkaistu: (2022)

Deep convolutional GAN-based data augmentation for medical image classification
Tekijä: Datta, Joy, et al.
Julkaistu: (2022)

Urban sound classification using convolutional Neural Network and long short term memory based on multiple features
Tekijä: Das, Joy Krishan, et al.
Julkaistu: (2021)

Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
Tekijä: Ashraf, S.M. Nabil, et al.
Julkaistu: (2021)

Machine learning based data processing and latency reduction in the internet of things for agriculture
Tekijä: Rahman, Sajeed Ur, et al.
Julkaistu: (2019)

Automatic waste classification using deep learning and computer vision techniques
Tekijä: Akash, MD., et al.
Julkaistu: (2023)

Pneumonia Disease detection using the convolutional neural network
Tekijä: Ashrafee, Md. Iftid, et al.
Julkaistu: (2024)

Quantum error correction using quantum convolutional neural network
Tekijä: Mishu, Niloy Deb Roy, et al.
Julkaistu: (2021)

International classification of impairments, disabilities, and handicaps : a manual of classification relating to the consequences of disease.
Julkaistu: (1980)

Dewey decimal classification and relative index /
Tekijä: Dewey, Melvil, 1851-1931
Julkaistu: (1996)