Computational Intelligence Algorithms

for Digital Audio Applications

 

Accepted Special Session at IJCNN2015

 

Organizers: Stefano Squartini, Aurelio Uncini, Björn Schuller, Francesco Piazza

 

 

Scope

Neural Networks (NN) based techniques, and Computational Intelligence (CI) ones from a wider perspective, are largely used to face complex modelling, prediction, and recognition tasks in different research fields. One of these is represented by Digital Audio, which finds application in contexts like entertainment, security, and health. Scientists and technicians worldwide actively cooperate to develop new services and products, and they typically employ advanced NN and CI techniques, in combination with suitable Digital Signal Processing algorithms.

This is accomplished with the aim of extracting and manipulating useful information from the audio stream to pilot the execution of automatized services, also in an interactive fashion. Several are the Digital Audio topics touched by such a paradigm. They involve different kind of audible signals, and for each of them we can identify some major topics with a solid literature already. In the “music” case study we have the music information retrieval with many diverse sub-topics therein; for “speech” we can mention speech/speaker recognition, speaker diarization, speaker localization; in the case of “sound”, acoustic monitoring and sound detection and identification have lately registered a big interest among the scientists working in the field. Moreover, also cross-domain approaches to exploit the information contained in diverse signals in the acoustic range have been recently developed. In many applicative contexts, this happens in conjunction with data coming from other media, like textual and visual, for which specific fusion techniques are required.  

In dealing with the problems correlated to these topics, the adoption of data-driven learning systems is often a “must”, and the recent success encountered by deep neural architectures comes just in confirmation of that. This is not, however, immune to technological issues, due to the presence of non-stationary operating conditions and hard real-time constraints (made often harder by the big amount of data to process).

It is indeed of great interest for the scientific community to understand how and to what extent novel CI based techniques (with special attention to the NN ones) can be efficiently employed in Digital Audio, in the light of all aforementioned aspects. The aim of the session is therefore to focus on the most recent advancements in the CI field and on their applicability to Digital Audio problems. Moving from the success encountered at IJCNN2014 in Beijing, where a similar session was organized, the proposers of this session are thus intended to replicate the experience and to build, in the long-term, a solid reference within the CI community for the Digital Audio field.

 

 

Topics

 Topics include, but are not limited to:

    •    Computational Audio Analysis
    •    Deep Learning algorithms in Digital Audio
    •    Neural Architectures for Audio Processing
    •    Music Information Retrieval
    •    Speech and Speaker Analysis and Classification
    •    Sound Detection and Identification
    •    Acoustic Source Separation
    •    Brain inspired auditory scene analysis
    •    Cross-domain Audio Analysis
    •    Speech and Audio Forensics
    •    Audio-based Security Systems
    •    Intelligent Audio Interfaces

 

Important Dates

    •    Feburary 5, 2015: Paper submission deadline
    •    March 25, 2015: Notification of paper acceptance
    •    April 25, 2015: Camera-ready deadline
    •    July 11-16, 2015: Conference days

 

Submission

Manuscripts submitted to special sessions should be done through the paper submission website of IJCNN 2015 as regular submissions. All papers submitted to special sessions will be subject to the same peer-review review procedure as the regular papers. Accepted papers will be part of the regular conference proceedings.

For more information, please contact the Special Session organizers:

    •   Prof. Stefano Squartini, Università Politecnica delle Marche, Ancona, Italy, This email address is being protected from spambots. You need JavaScript enabled to view it.
    •   Prof. Aurelio Uncini, Università La Sapienza, Rome, Italy, This email address is being protected from spambots. You need JavaScript enabled to view it.
    •   Prof. Björn Schuller, Imperial College London / University of Passau, U.K. / Germany, This email address is being protected from spambots. You need JavaScript enabled to view it.
    •   Prof. Francesco Piazza, Università Politecnica delle Marche, Ancona, Italy,   This email address is being protected from spambots. You need JavaScript enabled to view it.