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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Nur, Mir Md. Taosif, Dola, Sumaiya Sultana, Banik, Apurba Kishore, Akhter, Tanzeem, Hossain, Nafees
مؤلفون آخرون:	Mukta, Jannatun Noor
التنسيق:	أطروحة
اللغة:	English
منشور في:	Brac University 2022
الموضوعات:	Voice recognition Deep learning Security System Speech recognition Central database Machine learning Computer networks > Security measures
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/17158

مواد مشابهة

Shohojogi: an automated Bengali voice chat system for the banking customer services
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Fundamentals of speech recognition /
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منشور في: (2009)

Visual speech recognition using artificial neural networking
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Audio recognition using feed forward neural network optimized by principle component analysis
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منشور في: (2017)

Statistical methods for speech recognition /
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منشور في: (1997)

Statistical methods for speech recognition /
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منشور في: (1997)

Bangla speech to text conversion using CMU sphinx
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منشور في: (2020)

Bengali isolated speech recognition : a comparative analysis of the effects of data augmentation on HMM and DNN based acoustic models
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منشور في: (2018)

Voice impersonation detection using LSTM based RNN and explainable AI
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منشور في: (2020)

Image recognition by deep learning
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منشور في: (2018)

Isolated and continuous bangla speech recognition: implementation, performance and application perspective
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منشور في: (2010)

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منشور في: (2010)

Acoutstic analysis of Bangla consonants
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Speech and language processing : an introduction to natural language processing, computational linguistics, and speech recognition /
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منشور في: (2000)

Behavior change analysis due to violent video gaming using deep learning models
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Novel approach to detect hate speech and profanity on online platforms
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Multimodal emotion recognition from Speech and text using heterogeneous ensemble techniques
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Virtual wardrobe for physically impaired using Microsoft Kinect Sensor
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Real time dynamic facial recognition of subject at motion using angular image
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Bangla speech recognition using 1D CNN and LSTM with different dimension reduction techniques
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منشور في: (2019)

Human activity recognition and authentication system
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A twin prediction method using facial recognition feature
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منشور في: (2017)

Study on human emotion based on facial expressions through human machine communication
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منشور في: (2021)

TinyML for emotion detection in voice signals: evaluating and proposing algorithms for IoT wearable devices
بواسطة: Ahmed, Hasibul Hasan, وآخرون
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Affordable voice assistive intelligent glass for visually impaired people in perspective of Bangladesh
بواسطة: Peyal, Md. Mahmudul Kabir, وآخرون
منشور في: (2021)

Phase Transitions in Machine Learning
بواسطة: Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols
منشور في: (2012)

Prediction of human activity using machine learning
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منشور في: (2020)

Identifying code-mixed and code-switched hateful remarks on social media using NLP
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Human Activity Recognition using wearable body sensor by machine learning approach
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Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet
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Identifying hate speech of Bangla language text using natural language processing
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Accurate analysis of mood detection using eye-images rather than facial expression recognition (FER)
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AVCL: Audio Video clustering for learning Conversation labeling using Neural Network and NLP
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Gender classification in Bangla language using deep learning-based voice analysis
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Scaling Up Machine Learning
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Predicting regional accents of Bengali language using deep learning
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