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Speaker localization and speech extraction with the EAR sensor
2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009This paper presents the Embedded Audition for Robotics (EAR) project internally developed at LAAS and its application to speaker localization and extraction. Hardware and software issues are first thoroughly depicted, concerning the development of an auditory sensor based on an array of microphones, a homemade dedicated acquisition chain and a FPGA ...
Julien Bonnal +3 more
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Smart Room: Participant and Speaker Localization and Identification
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006Our long-term objective is to create smart room technologies that are aware of the users presence and their behavior and can become an active, but not an intrusive, part of the interaction. In this work, we present a multimodal approach for estimating and tracking the location and identity of the participants including the active speaker.
Carlos Busso +7 more
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Robust Speaker Localization in Meeting Room Domain
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007Speech signal is perturbed in real environments due to room acoustics and noise sources. The speech wavefront is received by a microphone array, which is used to determine the wavefront direction of arrival (DOA). DOA estimates from several spatially separated arrays are used to locate the speaker. Array channels may sometimes be corrupted by noise. In
Pasi Pertilä, Mikko Parviainen
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Speaker localization using the direct-path dominance test for arbitrary arrays
IEEE International Conference on Science of Electrical Engineering, 2018Speaker localization in reverberant environments is an important and timely challenge in audio signal processing, with new methods recently developed to meet this challenge.
H. Beit-On, B. Rafaely
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Speaker localization and cancellation for improving social attention
Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems, 2013Autistic individuals suffer from sensory impairment and can become frustrated in conversational settings involving multiple people [3]. For this reason, many choose to avoid certain social settings filled with different sounds. Such behavior only adds to their lack of necessary social skills and inhibits them from joining others in regular conversation.
Xi Wang 0011 +3 more
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Deep Neural Networks for Joint Voice Activity Detection and Speaker Localization
European Signal Processing Conference, 2018Detecting the presence of speakers and suitably localize them in indoor environments undoubtedly represent two important tasks in the speech processing community.
Paolo Vecchiotti +3 more
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SyncEcho: Echo-Based Single Speaker Time Offset Estimation for Time-of-Flight Localization
ACM International Conference on Embedded Networked Sensor SystemsLow-cost and accurate indoor location information can add spatiotemporal context to information systems, enabling new location-aware applications. Time-of-Flight (ToF)-based acoustic localization using speakers and microphones allows for localization ...
Hiroaki Murakami +5 more
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Improved Direct-path Dominance Test for Speaker Localization in Reverberant Environments
European Signal Processing Conference, 2018Speaker localization in real environments is a fundamental task for many audio signal processing applications. Many localization methods fail when the environment imposes challenging conditions, such as reverberation.
Lior Madmoni, B. Rafaely
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Extending Linear Dynamical Systems with Dynamic Stream Weights for Audiovisual Speaker Localization
International Workshop on Acoustic Signal Enhancement, 2018An important aspect of audiovisual speaker localization is the appropriate fusion of acoustic and visual observations based on their time-varying reliability. In this study, a framework which incorporates dynamic stream weights into the well-known Kalman
C. Schymura, Tobias Isenberg, D. Kolossa
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Dynamic speaker localization based on a novel lightweight R–CNN model
Neural computing & applications (Print), 2023Mehmet Cem Catalbas, S. Dobrišek
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