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Collaborative sensor networking towards real-time acoustical beamforming in free-space and limited reverberance

P. Bergamo, S. Asgari, Hanbiao Wang, D. Maniezzo, L. Yip, R.E. Hudson, Kung Yao, D. Estrin
2004 IEEE Transactions on Mobile Computing  
The iPAQs form a distributed sensor network to perform real-time acoustical beamforming. Computational times and associated real-time processing tasks are described.  ...  Field measured results for linear, triangular, and square subarrays in free-space and reverberant scenarios are presented.  ...  ACKNOWLEDGMENTS This work is partially supported by the US National Science Foundation CENS program, the Intel Corporation, and AROD-MURI PSU Contract 50126.  ... 
doi:10.1109/tmc.2004.17 fatcat:fjt5nypp3relhdyofjh25bnhse

Immersive Audio Schemes

Yiteng Huang, Jingdong Chen, Jacob Benesty
2011 IEEE Signal Processing Magazine  
fter more than a century of accelerated advances in telecommunication technologies, people are no longer satisfied with talking to someone over a long distance and in real time.  ...  They want to collaborate through communication in a more productive way with the feeling of being together and sharing the same environment, which we refer to as an immersive experience.  ...  His research interests are in acoustic, speech, and audio signal processing, and multimedia communications.  ... 
doi:10.1109/msp.2010.938754 fatcat:hupszrodcvak5byb4ds7xygcf4

Speech Enhancement and Recognition in Meetings With an Audio–Visual Sensor Array

Hari Krishna Maganti, Daniel Gatica-Perez, Iain McCowan
2007 IEEE Transactions on Audio, Speech, and Language Processing  
The approach is evaluated on data recorded in a real meeting room for stationary speaker, moving speaker, and overlapping speech scenarios.  ...  This reveals that the accurate speaker tracking provided by the audio-visual sensor array proved beneficial to improve the recognition performance in a microphone array-based speech recognition system.  ...  Lincoln (CSTR, University of Edinburgh) for the collaboration in designing the MC-WSJ-AV corpus, S. Ba (IDIAP) for his support with the audio-visual sensor array calibration, and B.  ... 
doi:10.1109/tasl.2007.906197 fatcat:4qqpwox7l5drte4c4fembnru74

Acoustic Self-Awareness of Autonomous Systems in a World of Sounds

Alexander Schmidt, Heinrich W. Lollmann, Walter Kellermann
2020 Proceedings of the IEEE  
| Autonomous systems (ASs) operating in realworld environments are exposed to a plurality and diversity of sounds that carry a wealth of information for perception in cognitive dynamic systems.  ...  While the importance of the acoustic modality for humans as "ASs" is obvious, it is investigated to what extent current technical ASs operating in scenarios filled with airborne sound exploit their potential  ...  ., when steering a beamformer (BF) [20] toward a target source.  ... 
doi:10.1109/jproc.2020.2977372 fatcat:immaqhfnkna6xdwj3dqlh7qewi

Localising Cetacean Sounds for the Real-Time Mitigation and Long-Term Acoustic Monitoring of Noise [chapter]

Michel Andr, Ludwig Hougnigan, Mike van der Schaar, Eric Delory, Serge Zaugg, Antonio M., Alex Mas
2011 Advances in Sound Localization  
In addition, www.intechopen.com Localising Cetacean Sounds for the Real-Time Mitigation and Long-Term Acoustic Monitoring of Noise 571 simulations were limited to allow only one bottom and one surface  ...  Space-time and hybrid algorithms for the passive acoustic localisation of sperm whales and vessels This paper presented space-time estimators in a broadband frame and introduced novel hybrid methods.  ...  Sánchez and Alex Mas (2011) . Localising Cetacean Sounds for the Real-Time Mitigation and Long-Term Acoustic Monitoring of Noise, Advances in Sound Localization, Dr.  ... 
doi:10.5772/14371 fatcat:5ok5zzpedjd45gs5k74wrxf374

The LOCATA Challenge: Acoustic Source Localization and Tracking

Christine Evers, Heinrich Loellmann, Heinrich Mellmann, Alexander Schmidt, Hendrik Barfuss, Patrick A. Naylor, Walter Kellermann
2020 IEEE/ACM Transactions on Audio Speech and Language Processing  
In dynamic scenarios, where the sources and microphone platforms may be moving, the signals are additionally affected by variations in the source-sensor geometries.  ...  However, in realistic scenarios, audio signals are adversely affected by reverberation, noise, interference, and periods of speech inactivity.  ...  this manuscript; and the IEEE SPS Technical Committee on Audio and Acoustic Signal Processing and the IEEE SPS Challenges and Data Collections subcommittee for the support of the LOCATA challenge.  ... 
doi:10.1109/taslp.2020.2990485 fatcat:br6micse2bdv3bvnye4idr3ane

Autonomous Underwater Vehicle-Based Concurrent Detection and Classification of Buried Targets Using Higher Order Spectral Analysis

M. Montanari, J.R. Edwards, H. Schmidt
2006 IEEE Journal of Oceanic Engineering  
The system is demonstrated through theory, simulation and at-sea experiments to have promise in reducing the false alarm rate of mine detections.  ...  This paper presents a processing concept for autonomous underwater vehicle (AUV)-based concurrent detection and classification (CDAC) of mine-like objects.  ...  Jacobson, and B. Johnson.  ... 
doi:10.1109/joe.2006.872216 fatcat:6nnxthy7pvdu7ai2btl7v2q2la

Audio Surveillance: a Systematic Review [article]

Marco Crocco, Marco Cristani, Andrea Trucco, Vittorio Murino
2014 arXiv   pre-print
time the robustness and reliability required in several real applications.  ...  Moreover, a specific section is devoted to audio features, discussing their expressiveness and their employment in the above described tasks.  ...  use quite common in the surveillance context: energy evaluation does not require high sampling rates, so decreasing the burden of data transfer in wireless sensor networks, and is robust toward synchronization  ... 
arXiv:1409.7787v1 fatcat:75lzk33wnnho5h3pbqr7nqaxxy

A Survey of Sound Source Localization Methods in Wireless Acoustic Sensor Networks

Maximo Cobos, Fabio Antonacci, Anastasios Alexandridis, Athanasios Mouchtaris, Bowon Lee
2017 Wireless Communications and Mobile Computing  
Wireless acoustic sensor networks (WASNs) are formed by a distributed group of acoustic-sensing devices featuring audio playing and recording capabilities.  ...  Additionally, we discuss methods not only aimed at localizing acoustic sources but also designed to locate the nodes themselves in the network.  ...  The sensor network itself poses many limitations and challenges that must be considered when designing a localization approach in order to facilitate its use in practical scenarios.  ... 
doi:10.1155/2017/3956282 fatcat:eqoe7kxulrf5fg6q4fzdc2zkdm

The LOCATA Challenge: Acoustic Source Localization and Tracking [article]

Christine Evers, Heinrich Loellmann, Heinrich Mellmann, Alexander Schmidt, Hendrik Barfuss, Patrick Naylor, Walter Kellermann
2020 arXiv   pre-print
In dynamic scenarios, where the sources and microphone platforms may be moving, the signals are additionally affected by variations in the source-sensor geometries.  ...  However, in realistic scenarios, audio signals are adversely affected by reverberation, noise, interference, and periods of speech inactivity.  ...  spacing, and hence reduced spatial diversity of the sensors.  ... 
arXiv:1909.01008v2 fatcat:julz2er425ctdnpkwqgwdetzcu

Microwave Imaging via Space–Time Beamforming: Experimental Investigation of Tumor Detection in Multilayer Breast Phantoms

X. Li, S.K. Davis, S.C. Hagness, D.W. vanderWeide, B.D. VanVeen
2004 IEEE transactions on microwave theory and techniques  
In this paper, we extend the previously presented two-dimensional space-time beamformer design to three-dimensional (3-D), and demonstrate its efficacy using experimental data obtained with a multilayer  ...  The received backscatter signals are processed by a data-adaptive algorithm that removes the artifact caused by antenna reverberation and backscatter from the skin-breast interface, followed by 3-D space-time  ...  Gustafson, and L. Palmer, all with the Department of Electrical and Computer Engineering, University of Wisconsin-Madison, for their help with the experimental setup.  ... 
doi:10.1109/tmtt.2004.832686 fatcat:fsv4d6ndcrenrbz3gpn6u2bu7e

2021 Microwave Week Workshops

Kaushik Sengupta, Glenn D. Hopkins, Danilo Manstretta, Mona Mostafa Hella, Patrick Roblin
2021 IEEE Microwave Magazine  
in data traffic to support growing demand in mobile networks.  ...  Massive MIMO technology will improve capacity by delivering high data rates to multiple users, support real-time multimedia services, and reduce energy consumption by targeting signals to individual users  ...  The space-time modulation technique is a promising paradigm for nonreciprocity and frequency generation in several microwave applications, such as magnet-free isolators and circulators, pure frequency  ... 
doi:10.1109/mmm.2021.3057181 fatcat:bb4dfrxv3rcklowe4fu6cttyiu

Multi-Source DOA Estimation through Pattern Recognition of the Modal Coherence of a Reverberant Soundfield

Abdullah Fahim, Prasanga Samarasinghe, Thushara Dheemantha Abhayapala
2019 IEEE/ACM Transactions on Audio Speech and Language Processing  
The method is evaluated against various simulated and practical noisy and reverberant environments with varying acoustic criteria and found to outperform the baseline methods in terms of DOA estimation  ...  We train our model for individual time-frequency bins in the short-time Fourier transform spectrum by analyzing the unique snapshot of modal coherence for each desired direction.  ...  The beamforming-based methods experience degradation in their performance for closely-spaced sources due to the limitation of the spatial resolution.  ... 
doi:10.1109/taslp.2019.2960734 fatcat:sowegqssibgg5pe6emoqo34lta

Deep Learning for Distant Speech Recognition [article]

Mirco Ravanelli
2017 arXiv   pre-print
in noisy and reverberant environments.  ...  Lastly, inspired by the idea that cooperation across different DNNs could be the key for counteracting the harmful effects of noise and reverberation, we propose a novel deep learning paradigm called network  ...  Acoustic events occur randomly (and rather uniformly) in time and in space (within predefined positions) with various dynamics.  ... 
arXiv:1712.06086v1 fatcat:2b7ymqmihjan5nkxeqrxq52wki

Advances in Modern Blind Signal Separation Algorithms: Theory and Applications

Kostas Kokkinakis, Philipos C. Loizou
2010 Synthesis Lectures on Algorithms and Software in Engineering  
towards solving real-world BSS problems.  ...  inside an acoustically challenging and reverberant (naturally echoing) environment, using two (or more) microphones acting as sensors.  ...  Loizou is a Fellow of the Acoustical Society of America and a member of the Speech Technical Committee of the IEEE Signal Processing Society.  ... 
doi:10.2200/s00258ed1v01y201003ase006 fatcat:ype6e7q2rbg7lelsdcuckgf55a
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