The International Research Conference Aims and Objectives
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation
within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations.
With its high quality, it provides an exceptional value for students, academics and industry researchers.
International Conference on Audio Signal Processing for Music Applications
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Audio Signal Processing for Music Applications.
It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations,
trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Audio Signal Processing for Music Applications.
Call for Contributions
Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters.
Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or
theoretical work in all areas of Audio Signal Processing for Music Applications are cordially invited for presentation at the conference.
The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of
novel research materials.
Guidelines for Authors
Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers.
Downloadable versions of the check list for
Full-Text Papers and
Abstract Papers.
Please refer to the
Paper Submission Guideline,
Abstract Submission Guideline and
Author Information
before submitting your paper.
Conference Proceedings
All submitted conference papers will be blind peer reviewed by three competent reviewers.
The peer-reviewed conference proceedings are indexed in the Open Science Index,
Google Scholar,
Semantic Scholar,
Zenedo,
BASE,
WorldCAT,
Sherpa/RoMEO,
and other index databases. Impact Factor Indicators.
Special Journal Issues
19. International Conference on Audio Signal Processing for Music Applications has teamed up with the Special Journal Issue on
Audio Signal Processing for Music Applications.
A number of selected high-impact full text papers will also be considered for the special journal issues.
All submitted papers will have the opportunity to be considered for this Special Journal Issue.
The paper selection will be carried out during the peer review process as well as at the conference presentation stage.
Submitted papers must not be under consideration by any other journal or publication.
The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly.
Selected full-text papers will be published online free of charge.
Conference Sponsor and Exhibitor Opportunities
The Conference offers the opportunity to become a conference sponsor or exhibitor.
To participate as a sponsor or exhibitor, please download and complete the
Conference Sponsorship Request Form.
Selected Papers
-
Contextual SenSe Model: Word Sense Disambiguation Using Sense and Sense Value of Context Surrounding the Target
Vishal Raj, Noorhan Abbas
-
Harnessing the Power of AI: Transforming DevSecOps for Enhanced Cloud Security
Ashly Joseph, Jithu Paulose
-
Enhancing Word Meaning Retrieval Using FastText and NLP Techniques
Sankalp Devanand, Prateek Agasimani, V. S. Shamith, Rohith Neeraje
-
Detecting Fake News: A Natural Language Processing, Reinforcement Learning, and Blockchain Approach
Ashly Joseph, Jithu Paulose
-
Automated Fact-Checking By Incorporating Contextual Knowledge and Multi-Faceted Search
Wenbo Wang, Yi-fang Brook Wu
-
Investigating Solar Cycles and Media Sentiment Through Advanced NLP Techniques
Aghamusa Azizov
-
Saving Energy through Scalable Architecture
John Lamb, Robert Epstein, Vasundhara L. Bhupathi, Sanjeev Kumar Marimekala
-
JaCoText: A Pretrained Model for Java Code-Text Generation
Jessica Lòpez Espejel, Mahaman Sanoussi Yahaya Alassan, Walid Dahhane, El Hassane Ettifouri
-
Sentiment Analysis of Fake Health News Using Naive Bayes Classification Models
Danielle Shackley, Yetunde Folajimi
-
Chinese Event Detection Technique Based on Dependency Parsing and Rule Matching
Weitao Lin
-
AI-Based Techniques for Online Social Media Network Sentiment Analysis: A Methodical Review
A. M. John-Otumu, M. M. Rahman, O. C. Nwokonkwo, M. C. Onuoha
-
Online Structural Health Monitoring of Ball Bearings
Matta S. N. S. Kiran, Manikantadhar Maheswaram, Akshat Upadhyay, Rohit Mishra, Bhagat Singh
-
Early Depression Detection for Young Adults with a Psychiatric and AI Interdisciplinary Multimodal Framework
Raymond Xu, Ashley Hua, Andrew Wang, Yuru Lin
-
A Review in Advanced Digital Signal Processing Systems
Roza Dastres, Mohsen Soori
-
Hybrid Antenna Array with the Bowtie Elements for Super-Resolution and 3D Scanning Radars
Somayeh Komeylian
Conference venue information will be released soon.
Audio and acoustic signal processing
Audio, speech, and language processing
Digital audio signal processing
Machine learning for audio signal processing
Semantic audio production
Semantic audio description and ontologies
Audio signal processing and feature extraction
Machine learning methods for audio content analysis
Automatic tagging of audio signals
Content-based audio retrieval
Music information retrieval
Music recommendation
Music informatics
User interfaces for audio management and retrieval
Intelligent audio effects
Audio restoration
Games and entertainment
Speech processing and analysis
Automatic music transcription
Audio source separation
Industrial applications
Semantic web
Audio information retrieval using machine learning
Audio synthesis with given contextual or musical constraints using machine learning
Audio source separation using machine learning
Audio transformations using machine learning
Unsupervised learning, online learning, one-shot learning, reinforcement learning, and incremental learning for audio
Applications/optimization of generative adversarial networks for audio
Cognitively inspired machine learning models of sound cognition
Mathematical foundations of machine learning for audio signal processing
| Abstracts/Full-Text Paper Submission Deadline |
|
December 12, 2024 |
| Notification of Acceptance/Rejection |
|
December 26, 2024 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
July 12, 2025 |
| Conference Dates |
|
November 11-12, 2025 |
