 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: April 2025
Volume 10 | Issue 4
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 107
Article Submitted : 13636
Article Published : 6402
Total Authors : 16956
Total Reviewer : 634
Total Countries : 116
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | A Comprehensive Survey on Audio Enhancement Systems |
| Authors Name: | Sufiyan J T , Joel Mathew Thomas , Karthikeyan K S , Junaid M P |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_200371
|
| Published Paper Id: | IJRTI2502045 |
| Published In: | Volume 10 Issue 2, February-2025 |
| DOI: | |
| Abstract: | The increasing need for high-quality audio pro- cessing in a variety of fields calls for creative answers to problems including real-time adaptation, speech clarity, and noise reduction. Modern noise reduction methods are examined in this survey, with a focus on the function of deep learning in audio improvement systems. Important developments are addressed, such as self-supervised learning techniques, multi-stage neural networks, and real-time audio-visual speech augmentation. The study examines methods such as deep neural filters, adaptive filtering, and simultaneous denoising and dereverberation to show gains in processing efficiency, intelligibility, and signal-to-noise ratios. Furthermore, the potential of integrating audio-visual fusion and adaptive batch processing frameworks to transform noise reduction applications in a variety of settings, from assistive hearing equipment to telecommunications, is examined. This survey aims to provide a comprehensive overview of current methodologies, guiding future research in developing robust, efficient, and accessible audio processing systems. |
| Keywords: | Audio enhancement, Noise reduction,Machine learning, Adaptive processing, Real-time audio, Deep learning, Batch processing, Audio optimization, Signal processing |
| Cite Article: | "A Comprehensive Survey on Audio Enhancement Systems", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 2, page no.a419-a424, February-2025, Available :http://www.ijrti.org/papers/IJRTI2502045.pdf |
| Downloads: | 00088 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2502045
Registration ID:200371
Published In: Volume 10 Issue 2, February-2025
DOI (Digital Object Identifier):
Page No: a419-a424 Country: kottayam, kerala, india Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2502045 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2502045 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||