Skip to main content

Advanced Signal Processing and Machine Learning for Acoustic Scene Analysis and Signal Enhancement

Edited by:
Shoji Makino: Waseda University, Japan 
Zbynek Koldovsky: Technical University of Liberec, Czech Republic 
Nobutaka Ono: Tokyo Metropolitan University, Japan
 

Submission Status: Open   |   Submission Deadline: Closed


EURASIP Journal on Audio, Speech, and Music Processing is calling for submissions to our Collection on 'Advanced Signal Processing and Machine Learning for Acoustic Scene Analysis and Signal Enhancement.' This Collection is dedicated to recent advances in Acoustic Scene Analysis and Signal Enhancement Based on Advanced Signal Processing and Machine Learning.

About the collection

EURASIP Journal on Audio, Speech, and Music Processing is calling for submissions to our Collection on 'Advanced Signal Processing and Machine Learning for Acoustic Scene Analysis and Signal Enhancement.'

We are surrounded by sounds in our daily lives. To know the acoustic environment, Acoustic Scene Analysis and Signal Enhancement technologies are essential. The Acoustic Scene Analysis and Signal Enhancement include (but are not limited to) event detection, audio content searching, acoustic scene classification, sound profiling, source localization, source separation, noise reduction, dereverberation, sound effect generation, virtual acoustic reproduction, and many others. These techniques form the core of state-of-the-art audio and acoustic signal processing and machine learning and are indispensable to the realization of future communication via both man-machine and human-human interfaces.

This Collection is dedicated to recent advances in Acoustic Scene Analysis and Signal Enhancement Based on Advanced Signal Processing and Machine Learning. This Collection aims to offer an opportunity to link these techniques in different areas and to find effective ways of achieving our goals. This Collection represents a vehicle whereby researchers can present new studies, thus paving the way for future developments in the field. This Collection will stimulate interest in the challenging area of Advanced Signal Processing and Machine Learning for Acoustic Scene Analysis and Signal Enhancement, and create an increasing body of high-quality research aligned with this idea.

The topics of interest for the Collection include, but are not limited to:

  • Event detection 
  • Audio content searching 
  • Acoustic scene classification
  • Sound profiling 
  • Source localization 
  • Source separation 
  • Noise reduction
  • Dereverberation
  • Sound effect generation
  • Virtual acoustic reproduction

  1. This paper proposes novel methods for extracting a single Speech signal of Interest (SOI) from a multichannel observed signal in underdetermined situations, i.e., when the observed signal contains more speech ...

    Authors: Tetsuya Ueda, Tomohiro Nakatani, Rintaro Ikeshita, Shoko Araki and Shoji Makino
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2024 2024:52
    Content type: Methodology Published on:

  2. We propose a framework for classifying acoustic scenes utilizing distributed sound sensor devices capable of sound-to-light conversion, which we term as Blinkies. These Blinkies can convert acoustic signals into ...

    Authors: Yuma Kinoshita and Nobutaka Ono
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2024 2024:46
    Content type: Empirical Research Published on:

Submission Guidelines

Back to top

This Collection welcomes submission of Research Articles. 

Before submitting your manuscript, please ensure you have read our submission guidelines. Articles for this Collection should be submitted via our submission system. During the submission process, under the section additional information, you will be asked whether you are submitting to a Collection, please select " Advanced Signal Processing and Machine Learning for Acoustic Scene Analysis and Signal Enhancement" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.