RED-LSTM: Real time emotion detection using LSTM

RED-LSTM: Real time emotion detection using LSTM

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Bibliografiske detaljer
Main Authors:	Labiba, Mansura Rahman, Jahura, Fatema Tuj, Alam, Sadia, Binte Morshed, Tasfia, Rahman, Wasey
Andre forfattere:	Feroz, Farhan
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2023
Fag:	Machine learning Speech emotion recognition Prediction RNN LSTM Real-time prediction Human-computer interaction. Artificial intelligence.
Online adgang:	http://hdl.handle.net/10361/19369

Lignende værker

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

Voice impersonation detection using LSTM based RNN and explainable AI
af: Barua, Kawshik, et al.
Udgivet: (2022)

Human sentiment analysis using natural language processing
af: Shamya, Md. Shamiul Haque Khan, et al.
Udgivet: (2024)

Real-time crime detection using convolutional LSTM and YOLOv7
af: Sakiba, Cyrus, et al.
Udgivet: (2023)

Motion based gesture detection using frame composition LSTM
af: Islam, Ishraqul, et al.
Udgivet: (2023)

A computer vision based approach for stalking detection using CNN-LSTM hybrid model
af: Iqbal, Shahriar, et al.
Udgivet: (2023)

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

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

Analysis of financial data on the time series using data from the stock market
af: Shachcha, Ifad Bhuiyan, et al.
Udgivet: (2022)

Multimodal emotion recognition from Speech and text using heterogeneous ensemble techniques
af: Rafidul Islam, Sheikh Md, et al.
Udgivet: (2022)

Multiclass emotion classification by using Spectrogram image analysis: A CNN-XGBoost fusion approach
af: Esha, Ishraq Ahmed, et al.
Udgivet: (2023)

Stock Market Price movement prediction using RNN and Point-weight Sentiment
af: Uddin, S. M. Rageeb Noor, et al.
Udgivet: (2022)

Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN
af: Dewanjee, Tanmoy, et al.
Udgivet: (2021)

Predicting regional accents of Bengali language using deep learning
af: Ibrahim, Md. Abu, et al.
Udgivet: (2022)

Share market forecasting with LSTM neural network and sentimental trend prediction
af: Rony, Ismail Hossain, et al.
Udgivet: (2020)

Dhaka Stock Market analysis with ARIMA-LSTM Hybrid Model
af: Arnob, Raisul Islam, et al.
Udgivet: (2020)

Bangla hate speech detection on social media using attention-based recurrent neural network
af: Das, Amit Kumar, et al.
Udgivet: (2022)

Behavior change analysis due to violent video gaming using deep learning models
af: Rahman, Akhlak Ur, et al.
Udgivet: (2024)

TinyML for emotion detection in voice signals: evaluating and proposing algorithms for IoT wearable devices
af: Ahmed, Hasibul Hasan, et al.
Udgivet: (2024)

RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
af: Rahman, Rafeed, et al.
Udgivet: (2021)

LSTM based content prediction for edge caching using federated learning approach
af: Mazumder, Shafkat Ahmed, et al.
Udgivet: (2021)

Cryptocurrency price prediction and forecasting using machine learning algorithm and long- short term memory mapping
af: Zaman, Md. Sayeed Ibne, et al.
Udgivet: (2022)

Novel approach to detect hate speech and profanity on online platforms
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Udgivet: (2022)

Emotion detection from frontal facial image
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Udgivet: (2014)

Emotional intelligence : why it can matter more than IQ /
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Udgivet: (1996)

Emotion recognition using EEG signal and deep learning approach
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Udgivet: (2019)

Emotion analysis using machine learning model and deep learning model on DEAP dataset
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Udgivet: (2022)

Emotional intelligence /
af: Goleman, Daniel
Udgivet: (1995)

Emotion in interaction
af: Peräkylä, Anssi

Emotion detection for Bangla language
af: Rushan, Rowshan Rahman, et al.
Udgivet: (2024)

Acoustic analysis of Bangla consonants
af: Alam, Firoj, et al.
Udgivet: (2010)

Acoutstic analysis of Bangla consonants
af: Alam, Firoj, et al.
Udgivet: (2010)

Fundamentals of speech recognition /
af: Rabiner, Lawrence R., 1943-
Udgivet: (2009)

Time-Series Forecasting of Ethereum Price using Long Short-Term Memory (LSTM) Networks
af: Al-Wasee, Mohammad Samin, et al.
Udgivet: (2022)

Crowed source based traffic analysis using machine learning algorithm
af: Orthy, Marzia Khan, et al.
Udgivet: (2017)

Intracranial hemorrhage detection using CNN-LSTM fusion model
af: Ahmed, Kazi sabab, et al.
Udgivet: (2022)

Study on human emotion based on facial expressions through human machine communication
af: Murshed, Tahmin Aysha, et al.
Udgivet: (2021)

Comparative analysis of emotion recognition methods
af: Zaman, Mustafa, et al.
Udgivet: (2010)

Emotional discipline : the power to choose how you feel : 5 life changing steps to feeling better every day /
af: Manz, Charles C.
Udgivet: (2003)

Human activity recognition and authentication system
af: ALam, Md. Zubaer
Udgivet: (2024)