AVCL: Audio Video clustering for learning Conversation labeling using Neural Network and NLP

AVCL: Audio Video clustering for learning Conversation labeling using Neural Network and NLP

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

Bibliografische gegevens
Hoofdauteurs:	Chowdhury, Salman Mostafiz, Rohid, Ali Ahammed, Hussain, Rizwan, Mostafa, Chowdhury Sujana
Andere auteurs:	Mostakim, Moin
Formaat:	Thesis
Taal:	en_US
Gepubliceerd in:	Brac University 2022
Onderwerpen:	Speech Recognition Wav2vec2 BERT AVSpeech Keywords extraction Neural Networks NLP Automatic speech recognition Neural networks (Computer science)
Online toegang:	http://hdl.handle.net/10361/17114

Gelijkaardige items

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

Visual speech recognition using artificial neural networking
door: Sharmili, Nowshin, et al.
Gepubliceerd in: (2018)

Acoustic analysis of Bangla consonants
door: Alam, Firoj, et al.
Gepubliceerd in: (2010)

Acoutstic analysis of Bangla consonants
door: Alam, Firoj, et al.
Gepubliceerd in: (2010)

Fundamentals of speech recognition /
door: Rabiner, Lawrence R., 1943-
Gepubliceerd in: (2009)

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

Automatic text summarization using Gensim Word2Vec and K-Means Clustering Algorithm
door: Haider, Mofiz Mojib, et al.
Gepubliceerd in: (2021)

Statistical methods for speech recognition /
door: Jelinek, Frederick, 1932-
Gepubliceerd in: (1997)

Statistical methods for speech recognition /
door: Jelinek, Frederick, 1932-
Gepubliceerd in: (1997)

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

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

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

Detecting sarcasm in Bengali comments using NLP
door: Chowdhury, Md. Jamiur Rahman
Gepubliceerd in: (2024)

A document vectorization approach to Resume Ranking System(RRS)
door: Nabi, Norun
Gepubliceerd in: (2023)

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

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

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

Isolated bangla handwritten character & digit recognition using convolutional neural network
door: Alif, Mujadded Al Rabbani, et al.
Gepubliceerd in: (2018)

A viseme recognition system using lip curvature and neural networks to detect Bangla vowels
door: Akhter, Nahid
Gepubliceerd in: (2017)

Human activity recognition and authentication system
door: ALam, Md. Zubaer
Gepubliceerd in: (2024)

Voice recognition using machine learning and central database to enhance security system
door: Nur, Mir Md. Taosif, et al.
Gepubliceerd in: (2022)

Neural networks for pattern recognition /
door: Bishop, Christopher M.
Gepubliceerd in: (1995)

Into the heart of Bangla speech: advancing speech sentiment recognition with semi-supervised multimodal machine learning model leveraging an iterative SHAP-based feature selection
door: Shruti, Abanti Chakraborty
Gepubliceerd in: (2024)

Computational analysis and detection of Bengali communal violent speech
door: Khondoker, Abdullah, et al.
Gepubliceerd in: (2024)

Examining lexical and grammatical diﬃculties in Bengali language using NLP with machine learning
door: Afroz, Sazia, et al.
Gepubliceerd in: (2021)

Bangla license plate recognition using convolutional neural networks (CNN)
door: Rahman, M M Shaifur
Gepubliceerd in: (2018)

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

Fruit and vegetable freshness detection using deep learning
door: Haque, Md. Mahidul, et al.
Gepubliceerd in: (2023)

An efficient handwritten Bangla character recognition system using computer vision and natural language processing
door: Aishi, Tanusree Das, et al.
Gepubliceerd in: (2024)

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

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

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

Shohojogi: an automated Bengali voice chat system for the banking customer services
door: Arnab, Kabir Abdur Rahman, 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)

Important keywords extraction from documents using semantic analysis
door: Hasan, H. M. Mahedi, et al.
Gepubliceerd in: (2017)

Efficient Spatio-temporal feature extraction for human action recognition
door: Ghosh, Dipon Kumar
Gepubliceerd in: (2022)

Visual object recognition using deep convolutional neural network
door: Ahmed, Sabbir
Gepubliceerd in: (2017)

Handwritten character recognition using neural network
door: Hussain, Shoumin Rafsun, et al.
Gepubliceerd in: (2021)

Development of annotated Bangla speech corpora
door: Alam, Firoj, et al.
Gepubliceerd in: (2010)

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