A review of multi-objective deep learning speech denoising methods

A Azarang, N Kehtarnavaz - Speech Communication, 2020 - Elsevier
This paper presents a review of multi-objective deep learning methods that have been
introduced in the literature for speech denoising. After stating an overview of conventional …

A comparative review of sentimental analysis using machine learning and deep learning approaches

A Nagelli, B Saleena - Journal of Information & Knowledge …, 2023 - World Scientific
The sentiment data provides vital information about the feedback of the user's opinion,
attitude and emotions. The business of product development and digital marketing teams …

Convex Hull Convolutive Non-negative Matrix Factorization Based Speech Enhancement For Multimedia Communication

D Wang, J Cui, J Wang, H Tan… - 2022 6th International …, 2022 - ieeexplore.ieee.org
In this paper, an effective speech enhancement method is proposed for the next generation
multimedia communication system. The priori knowledge of the enhancement stage is …

非負矩陣分解法於語音調變頻譜強化之研究(A study of enhancing the modulation spectrum of speech signals via nonnegative matrix factorization)[In Chinese]

XX Wang, ZH Zheng, Y Tsao… - Proceedings of the 28th …, 2016 - aclanthology.org
摘要在本論文中, 我們使用了非負矩陣分解(nonnegative matrix decomposition, NMF)
技術來強化語音特徵調變頻譜, 並且分別訓練資料中乾淨語音及雜訊的調變頻譜強度基底(basis) …

Speech enhancement using convolutive non-negative matrix factorization with multiple dictionaries

S He, J Wu, L Li - 2015 IEEE 9th International Conference on …, 2015 - ieeexplore.ieee.org
We introduce an effective framework for speech enhancement using convolutive
nonnegative matrix factorization (CNMF) with no a prior knowledge of the clean speech or …

Single-microphone speech enhancement inspired by auditory system

M Mirbagheri - 2014 - search.proquest.com
Enhancing quality of speech in noisy environments has been an active area of research due
to the abundance of applications dealing with human voice and dependence of their …