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MLSP Special Session 2016 : Special Session @ MLSP 2016 : Computational Methods for Audio Analysis


When Sep 13, 2016 - Sep 16, 2016
Where Vietri Sul Mare, Italy
Submission Deadline May 15, 2016
Notification Due Jun 5, 2016
Final Version Due Jul 31, 2016
Categories    machine learning   signal processing   audio   computational intelligence

Call For Papers

September 13-16, 2016 – Vietri Sul Mare, Italy


Nowadays, computational methods are largely used to face complex modelling, prediction, and recognition tasks in different research fields. One of these fields is represented by the analysis of audio signals, which finds application in communication, entertainment, security, forensics and health to name but a few.
The typical methodology adopted in these tasks consists in extracting and manipulating useful information from the audio stream to pilot the execution of automatized services. Such an approach is applied to different kinds of audio signals, from music to speech, from sound to acoustic data. The use of computational methods may also allow to provide a characterization of an audio stream by directly analyzing raw data. Moreover, cross-domain approaches to exploit the information contained in diverse kinds of environmental audio signals have been recently investigated.
It is indeed of great interest for the scientific community to understand the effectiveness of novel computational methods for audio analysis, in the light of all aforementioned aspects. The aim of this session is therefore to focus on the most recent advancements in the Machine Learning field and their applicability to a wide range of audio analysis tasks.

• Machine Learning Algorithms for Speech and Audio Analysis
• Cross-domain Audio Analysis
• Deep Learning for Audio Applications
• Audio Source Separation and Localization
• Audio-based Security Systems and Surveillance
• Reinforcement Learning for Audio
• Music Information Retrieval
• Speech and Audio Forensics
• Computational Methods for Wireless Acoustic Sensor Networks
• Speech and Speaker Analysis and Classification
• Sound and Novelty Detection and Recognition
• Machine Learning for Speech Enhancement
• Intelligent Audio Interfaces

Prospective authors may submit their manuscripts through MLSP 2016 submission system and select “Computational Methods for Audio Analysis” as topic. All the submissions will go through peer review. Accepted contributions will be part of the conference proceedings. More details and guidelines for paper submission can be found on

Paper submissions: May 1, 2016
Decision notifications: June 5, 2016
Camera-ready papers: July 31, 2016

Michele Scarpiniti, Sapienza University of Rome, Italy
Danilo Comminiello, Sapienza University of Rome, Italy
Tuomas Virtanen, Tampere University of Technology, Finland
Mark Plumbley, University of Surrey, England
Stefano Squartini, Università Politecnica delle Marche, Italy
Paris Smaragdis, University of Illinois at Urbana-Champaign, USA

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