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Joint model-based recognition and localization of overlapped acoustic events using a set of distributed small microphone arrays

Author
Chakraborty , R.; Nadeu, C.
Type of activity
Report
Date
2017-12-19
Project funding
Deep learning technologies for speech and audio processing
Repository
http://hdl.handle.net/2117/114426 Open in new window
URL
https://arxiv.org/abs/1712.07065 Open in new window
Abstract
Article publicat a Arxiv, sense revisió per parells In the analysis of acoustic scenes, often the occurring sounds have to be detected in time, recognized, and localized in space. Usually, each of these tasks is done separately. In this paper, a model-based approach to jointly carry them out for the case of multiple simultaneous sources is presented and tested. The recognized event classes and their respective room positions are obtained with a single system that maximizes the combination of a ...
Citation
Chakraborty , R., Nadeu, C. "Joint model-based recognition and localization of overlapped acoustic events using a set of distributed small microphone arrays". 2017.
Keywords
Acoustic event detection, Computational acoustic scene analysis, Microphone array signal processing
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
TALP - Centre for Language and Speech Technologies and Applications
VEU - Speech Processing Group

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