Speech emotion detection using supervised, unsupervised and feature selection algorithms

Speech emotion detection using supervised, unsupervised and feature selection algorithms

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

Bibliografische gegevens
Hoofdauteurs:	Rifat, Abu Nuraiya Mahfuza Yesmin, Biswas, Aditi, Chowdhury, Nadia Farhin
Andere auteurs:	Uddin, Jia
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	BRAC University 2019
Onderwerpen:	SER MFCC Random forest Gradient boosting SVM CNN RFE P-Value PCA Supervised learning (Machine learning)
Online toegang:	http://hdl.handle.net/10361/12287

Gelijkaardige items

Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning
door: Arafat, Sheikh Mohammad, et al.
Gepubliceerd in: (2021)

Stock market prediction using ensemble learning
door: Rabbani, Rakin Bin, et al.
Gepubliceerd in: (2021)

Prediction of bipolar disorder from mental episodes using machine learning approach
door: Tasmeem, Sumaiya, et al.
Gepubliceerd in: (2023)

Bangla speech recognition using 1D CNN and LSTM with different dimension reduction techniques
door: Nirjhor, S M Mahsanul Islam, et al.
Gepubliceerd in: (2019)

Prediction and detection in change of cognitive load for VIP’s by a machine learning approach
door: Rahman, Fahim, et al.
Gepubliceerd in: (2021)

Prediction of earthquakes: a step towards predicting the unpredictable
door: Chowdhury, Maheen, et al.
Gepubliceerd in: (2023)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
door: Turjo, Aquib Abtahi, et al.
Gepubliceerd in: (2021)

Building a credit scoring model to assign a reference score based on credit transaction and relevant profile data
door: Islam, Saqib Al, et al.
Gepubliceerd in: (2020)

Detecting online recruitment fraud by using machine learning
door: Ghosh, Gitanjali, et al.
Gepubliceerd in: (2021)

Prediction on large scale data using extreme gradient boosting
door: Sawon, Md.Tariq Hasan, et al.
Gepubliceerd in: (2016)

Producing self tuned music using machine learning tools
door: Tasneem, Akifa, et al.
Gepubliceerd in: (2018)

Breast cancer prediction using different machine learning models
door: Khandker Al- Muhaimin, et al.
Gepubliceerd in: (2020)

Cervical Cancer Detection from Cervix Image Using Pap smear Imaging through CNN
door: Bhuiyan, Mazedul Haque, et al.
Gepubliceerd in: (2021)

ML based career suggestive system for informal job sector considering cognitive skills
door: Tonny, Ms. Ayesha Siddika, et al.
Gepubliceerd in: (2023)

Early detection of chronic kidney disease using machine learning
door: Abrar, Tahmid, et al.
Gepubliceerd in: (2019)

Analysis on dengue severity using machine learning approach
door: Sayeed, Sanjana, et al.
Gepubliceerd in: (2021)

Demystifying machine learning models for IOT attack detection with explainable AI
door: Muna, Rabeya Khatun, et al.
Gepubliceerd in: (2021)

Exploring machine learning techniques for symptom-based detection of livestock diseases
door: Niloy, Mahir Ahmed, et al.
Gepubliceerd in: (2024)

Sentiment analysis for Bengali newspaper headlines
door: Hossain, Mohammad Samman, et al.
Gepubliceerd in: (2017)

A hybrid rumor detection model derived from a comparative study of supervised approaches
door: Aothoi, Mehzabin Sadat, et al.
Gepubliceerd in: (2023)

Diagnosis of cervical cancer using effective hybrid model in Bangladesh
door: Saad-Ul-Kabir, Syed, et al.
Gepubliceerd in: (2021)

3G and 4G paging success rate based mobile network anomaly detection using supervised and unsupervised learning
door: Ahasan, Md Rakibul
Gepubliceerd in: (2022)

Exploring cognitive load and emotional states for the visually impaired
door: Afroz, Sharmin, et al.
Gepubliceerd in: (2019)

Finding suitable locations for live campaigns using different machine learning techniques
door: Qudar, Mohiuddin Md. Abdul, et al.
Gepubliceerd in: (2018)

Heart disease prediction using techniques of classification in machine learning
door: Afrose, Sadia, et al.
Gepubliceerd in: (2021)

Early threat warning via speech and emotion recognition from voice calls
door: Ishtiak, Ifaz, et al.
Gepubliceerd in: (2019)

Predicting stock market movement using sentiment analysis of twitter feed
door: Chakraborty, Pranjal, et al.
Gepubliceerd in: (2017)

Rating detection by reviews using ML and NLP towards mobile phone recommendation
door: Sarker, Md Wafi, et al.
Gepubliceerd in: (2023)

Flight fare prediction using machine learning
door: Noyon, Md. Shaim Hosan, et al.
Gepubliceerd in: (2024)

A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning
door: Raizan, Syed Ahsan, et al.
Gepubliceerd in: (2021)

Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
door: Ahasan, Md. Mubtasim, et al.
Gepubliceerd in: (2022)

Gene expression analysis using machine learning
door: Mostafa, Naﬁs
Gepubliceerd in: (2021)

Supervision in thought and action /
door: Lucio, William H.
Gepubliceerd in: (1979)

Predicting obesity: a comparative analysis of machine learning models incorporating different features
door: Rahman, Md.Sakibur, et al.
Gepubliceerd in: (2023)

Subjectivity analysis using machine learning algorithm
door: Ahmed, Erfan, et al.
Gepubliceerd in: (2017)

Excellence in supervision : essential skills for the new supervisor /
door: Conlow, Rick
Gepubliceerd in: (2004)

N.P.K. based crop suggesting model
door: Iftekher, Asif, et al.
Gepubliceerd in: (2020)

Best feature selection and data visualization for breast cancer prediction
door: Hemel, Tanjim Ahmed, et al.
Gepubliceerd in: (2020)

Predicting crime using deep learning
door: Shihab, Muhammad Nafees, et al.
Gepubliceerd in: (2024)

Detecting navigation challenges for the visually impaired with mobile monitoring of biosignal
door: Islam, Mohammad Waseq ul, et al.
Gepubliceerd in: (2021)