Review on Speech Enhancement Techniques
Rakshitha IM
, Thanushree S , Tejaswini L , Sneha E , Deepthi Raj
Background noise, Deep Neural Network, Speech communication, Speech signal enhancement, Speech signal processing
Speech is the most organic and efficient form of communication. Throughout the speech When communicating, the signals carry some noise, so digital voice signal processing is a crucial phase in speech enhancement. A speech signal is typically corrupted0by ambient noise, background noise, and reverberations. The reason for speech enhancement is to increase the understandability of0 speech and the speech signal's clarity. There are several techniques proposed using which speech signal enhancement is performed. We use MMSE, MAP, and DNN algorithms to enhance speech. The objective of0this paper is to provide an overview of0speech enhancement algorithms that are used for the enhancement of speech signals.
Volume 10
Issue 2,
February-2023
Pages : 14-19
Paper Reg. ID: TIJER_100329
Published Paper Id: TIJER2302002
Downloads: 000280
Research Area: Science and Technology
Country: Bengalore, Karnataka, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
