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.

Bibliografiset tiedot
Päätekijät:	Nur, Mir Md. Taosif, Dola, Sumaiya Sultana, Banik, Apurba Kishore, Akhter, Tanzeem, Hossain, Nafees
Muut tekijät:	Mukta, Jannatun Noor
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2022
Aiheet:	Voice recognition Deep learning Security System Speech recognition Central database Machine learning Computer networks > Security measures
Linkit:	http://hdl.handle.net/10361/17158

Samankaltaisia teoksia

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

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

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

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

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

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

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

Statistical methods for speech recognition /
Tekijä: Jelinek, Frederick, 1932-
Julkaistu: (1997)

Statistical methods for speech recognition /
Tekijä: Jelinek, Frederick, 1932-
Julkaistu: (1997)

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

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

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

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

Image recognition by deep learning
Tekijä: Mohiuddin, Karishma, et al.
Julkaistu: (2018)

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

Acoustic analysis of Bangla consonants
Tekijä: Alam, Firoj, et al.
Julkaistu: (2010)

Acoutstic analysis of Bangla consonants
Tekijä: Alam, Firoj, et al.
Julkaistu: (2010)

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

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

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

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

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

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

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

Human activity recognition and authentication system
Tekijä: ALam, Md. Zubaer
Julkaistu: (2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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