Voice recognition using machine learning and central database to enhance security system

Voice recognition using machine learning and central database to enhance security system

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

Bibliografiske detaljer
Main Authors:	Nur, Mir Md. Taosif, Dola, Sumaiya Sultana, Banik, Apurba Kishore, Akhter, Tanzeem, Hossain, Nafees
Andre forfattere:	Mukta, Jannatun Noor
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2022
Fag:	Voice recognition Deep learning Security System Speech recognition Central database Machine learning Computer networks > Security measures
Online adgang:	http://hdl.handle.net/10361/17158

Lignende værker

Shohojogi: an automated Bengali voice chat system for the banking customer services
af: Arnab, Kabir Abdur Rahman, et al.
Udgivet: (2023)

Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
af: Hossain, Prommy Sultana
Udgivet: (2022)

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

Visual speech recognition using artificial neural networking
af: Sharmili, Nowshin, et al.
Udgivet: (2018)

Face recognition based home security system
af: Sakib, Sadman, et al.
Udgivet: (2021)

Comprehensive analysis and development of deep learning models for Bengali character’s spectrogram image classification in child speech: introduction of spectro SETNet
af: Ahmed, Syed Istiaque, et al.
Udgivet: (2024)

Audio recognition using feed forward neural network optimized by principle component analysis
af: Momo, Nusrat Suzana, et al.
Udgivet: (2017)

Statistical methods for speech recognition /
af: Jelinek, Frederick, 1932-
Udgivet: (1997)

Statistical methods for speech recognition /
af: Jelinek, Frederick, 1932-
Udgivet: (1997)

Bangla speech to text conversion using CMU sphinx
af: Bristy, Israt Jerin, et al.
Udgivet: (2020)

Bengali isolated speech recognition : a comparative analysis of the effects of data augmentation on HMM and DNN based acoustic models
af: Rashid, Warida, et al.
Udgivet: (2018)

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

Traffic sign recognition using deep learning
af: Amir, Afia Binte, et al.
Udgivet: (2020)

Image recognition by deep learning
af: Mohiuddin, Karishma, et al.
Udgivet: (2018)

Isolated and continuous bangla speech recognition: implementation, performance and application perspective
af: Hasnat, Md. Abul, et al.
Udgivet: (2010)

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

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

Speech and language processing : an introduction to natural language processing, computational linguistics, and speech recognition /
af: Jurafsky, Dan, 1962-
Udgivet: (2000)

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

Novel approach to detect hate speech and profanity on online platforms
af: Pritha, Barha Meherun, et al.
Udgivet: (2022)

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

Virtual wardrobe for physically impaired using Microsoft Kinect Sensor
af: Hamid, Md. Farhan
Udgivet: (2018)

Real time dynamic facial recognition of subject at motion using angular image
af: Tasneem, Sharah, et al.
Udgivet: (2024)

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

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

A twin prediction method using facial recognition feature
af: Nafees, Masnoon, et al.
Udgivet: (2017)

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

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

Affordable voice assistive intelligent glass for visually impaired people in perspective of Bangladesh
af: Peyal, Md. Mahmudul Kabir, et al.
Udgivet: (2021)

Phase Transitions in Machine Learning
af: Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols
Udgivet: (2012)

Prediction of human activity using machine learning
af: Tisha, Sadia Nasrin, et al.
Udgivet: (2020)

Identifying code-mixed and code-switched hateful remarks on social media using NLP
af: Sinha, Sumaiya, et al.
Udgivet: (2024)

Human Activity Recognition using wearable body sensor by machine learning approach
af: Promi, Sadia Tangim, et al.
Udgivet: (2020)

Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet
af: Al-imran, et al.
Udgivet: (2019)

Identifying hate speech of Bangla language text using natural language processing
af: Rahman, Mushfiqur, et al.
Udgivet: (2024)

Accurate analysis of mood detection using eye-images rather than facial expression recognition (FER)
af: Hossain, Arafat, et al.
Udgivet: (2023)

AVCL: Audio Video clustering for learning Conversation labeling using Neural Network and NLP
af: Chowdhury, Salman Mostafiz, et al.
Udgivet: (2022)

Gender classification in Bangla language using deep learning-based voice analysis
af: Hakim, Talukder Juhaer, et al.
Udgivet: (2024)

Scaling Up Machine Learning
af: Edited by Ron Bekkerman, Mikhail Bilenko, John Langford
Udgivet: (2012)

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