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An Audio-Visual Method for Room Boundary Estimation and Material Recognition

Luca Remaggi, Hansung Kim, Philip J. B. Jackson, Adrian Hilton
2018 Proceedings of the 2018 Workshop on Audio-Visual Scene Understanding for Immersive Multimedia - AVSU'18  
Classic machine learning methods are used to validate the model, by employing data recorded in five rooms, having different sizes and RT60s.  ...  The acoustic absorption coefficients are selected as features.  ...  Details about the data underlying this work, along with the terms for data access, are available from: http://dx.doi.org/ 10.15126/surreydata.00812228.  ... 
doi:10.1145/3264869.3264876 dblp:conf/mm/RemaggiKJH18 fatcat:mc3dhb3mpvhatllbuj34santju

Multi-Tones' Phase Coding (MTPC) of Interaural Time Difference by Spiking Neural Network [article]

Zihan Pan, Malu Zhang, Jibin Wu, Haizhou Li
2020 arXiv   pre-print
Inspired by the mammal's auditory localization pathway, in this paper we propose a pure spiking neural network (SNN) based computational model for precise sound localization in the noisy real-world environment  ...  This proposal is evaluated by the microphone collected location-dependent acoustic data, in a real-world environment with noise, obstruction, reflection, or other affects.  ...  A1687b0033 from the Singapore Governments Research, Innovation and Enterprise 2020 plan (Advanced Manufacturing and Engineering domain)  ... 
arXiv:2007.03274v1 fatcat:wqhvhak5tbgzdbhmj4wmmxcuoy

Mirage: 2D Source Localization Using Microphone Pair Augmentation with Echoes

Diego Di Carlo, Antoine Deleforge, Nancy Bertin
2019 ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
It is commonly observed that acoustic echoes hurt performance of sound source localization (SSL) methods.  ...  estimation while retrieving elevation as well from 2 microphones only, an impossible task in anechoic settings.  ...  We propose to use a deep neural network (DNN) trained on a simulated close-surface dataset to estimate early echoes properties from audio features.  ... 
doi:10.1109/icassp.2019.8683534 dblp:conf/icassp/CarloDB19 fatcat:s6km33cpqnaufevysmajrauf7e

Paper Titles

2019 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)  
Deep Convolutional Neural Network and Image Processing Efficient HEVC Inter Prediction Using SVM Efficient Hybrid Sensor Data Recovery Scheme Efficient Implementation of Non-Local Means Image Denoising  ...  Network Estimating Viewed Image Categories from fMRI Activity via Multi-view Bayesian Generative Model Estimation of Cone Index from Water Content and Soil Types Obtained from Hyperspectral Images Estimation  ... 
doi:10.1109/gcce46687.2019.9015409 fatcat:6k3r6jixrvglrkrkzek636gb54

Indoor acoustic localization: a survey

Manni Liu, Linsong Cheng, Kun Qian, Jiliang Wang, Jin Wang, Yunhao Liu
2020 Human-Centric Computing and Information Sciences  
For example, Abstract Applications of localization range from body tracking, gesture capturing, indoor plan construction to mobile health sensing.  ...  In the second step, the target is located using those data.  ...  WordRecorder [15] combines acoustic signals with CNN to recognize handwriting. Long short-term memory (LSTM) neural network is leveraged in [37] for mobile devices tracking.  ... 
doi:10.1186/s13673-019-0207-4 fatcat:lueb6jrvqncytg2wzevf6naija

Digitization and Visualization of Folk Dances in Cultural Heritage: A Review

Iris Kico, Nikos Grammalidis, Yiannis Christidis, Fotis Liarokapis
2018 Inventions  
In this paper, an overview of the techniques used for the recording of dance moves is presented.  ...  This paper reviews advances in digitization and visualization of folk dances from 2000 to 2018.  ...  networks (CNN), a class of deep neural networks mostly applied to analyzing visual imagery.  ... 
doi:10.3390/inventions3040072 fatcat:4dlt5ru4zfgk7iutcterb43th4

Real-time acoustic source localization in noisy environments for human-robot multimodal interaction

Vlad M. Trifa, Ansgar Koene, Jan Moren, Gordon Cheng
2007 RO-MAN 2007 - The 16th IEEE International Symposium on Robot and Human Interactive Communication  
stereo input signal recorded with with microphones inserted in the ears of subjects.  ...  Recent interesting results on biologically plausible the Matlab analysis were recorded directly from the robot models of auditory perception using biological spiking neural microphones in 16 bits  ... 
doi:10.1109/roman.2007.4415116 dblp:conf/ro-man/TrifaKMC07 fatcat:4sxf7rrxdnfzdauxocskswusm4

Front Matter: Volume 10462

Yadong Jiang, Haimei Gong, Weibiao Chen, Jin Li
2018 AOPC 2017: Optical Sensing and Imaging Technology and Applications  
Please use the following format to cite material from these proceedings: Publication of record for individual papers is online in the SPIE Digital Library.  ...  using a Base 36 numbering system employing both numerals and letters.  ...  convolutional neural networks [10462-264] 10462 51 High dynamic infrared image compressive enhancement based on fast local Laplacian filters [10462-267] 10462 52 Topological derivative improved  ... 
doi:10.1117/12.2297053 fatcat:uj2n3awsarftxgtrrz2zgvfsky

International hearing protector standardization

Torben Poulsen
2002 Journal of the Acoustical Society of America  
Records from stations of the Mexican network are used to test this idea.  ...  Using these features a neural network is trained to detect manmade objects in any of the three sonar modes.  ...  These vectors are input to a novel neural network based on mathematical morphology which classifies the regions of interest into mines and false alarms.  ... 
doi:10.1121/1.4779221 fatcat:gxv33fedmrhxlf35odaqh3jybm

RadioMic: Sound Sensing via mmWave Signals [article]

Muhammed Zahid Ozturk, Chenshu Wu, Beibei Wang, K. J. Ray Liu
2021 arXiv   pre-print
It then exploits a neural network to further enhance the recovered sound by expanding the recoverable frequencies and reducing the noises.  ...  We thoroughly evaluate RadioMic under different scenarios using a commodity mmWave radar. The results show RadioMic outperforms the state-of-the-art systems significantly.  ...  We build an autoencoder based neural network model, named as radio acoustics networks (RANet), which is modified from the classical UNet [43] .  ... 
arXiv:2108.03164v1 fatcat:c7yoj3cg2bfpxngfo35kr4jdxu

See Through Smoke: Robust Indoor Mapping with Low-cost mmWave Radar [article]

Chris Xiaoxuan Lu, Stefano Rosa, Peijun Zhao, Bing Wang, Changhao Chen, John A. Stankovic, Niki Trigoni, Andrew Markham
2020 arXiv   pre-print
First, it autonomously overcomes the sparsity and multi-path noise of mmWave signals by combining cross-modal supervision from a co-located lidar during training and the strong geometric priors of indoor  ...  This work was supported, in part, by the awards 70NANB17H185 and 60NANB17D16 from the U.S.  ...  Reconstruction Neural Network. To address the sparsity and noise challenge, we propose to use generative neural network (i.e., GAN in this work) reconstruct maps.  ... 
arXiv:1911.00398v2 fatcat:7zqic2pngzd3rdljjmjyhcmewy

Blending of three-dimensional geometric model shapes

Seng-Beng Ng, Kok-Why Ng, Rahmita Wirza O.K. Rahmat, Yih-Jian Yoong
2022 Indonesian Journal of Electrical Engineering and Computer Science  
Three-dimensional (3D) geometric model shapes blending method can create various in-between models from two inputs of models shapes.  ...  An interpolated shape blending program using the Laplacian-based contraction and Slinky-based segmentation method is developed to illustrate the critical problems arise in the shape blending process.  ...  Depth information of the scene is recovered by stereo matching from the captured images and estimation of major acoustic reflector locations from the sound.  ... 
doi:10.11591/ijeecs.v27.i1.pp102-109 fatcat:b7arfvhg5fgd5cudfazkpm5yx4

IPIN 2018 Ninth International Conference on Indoor Positioning and Indoor Navigation

2018 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)  
Acoustic fingerprints of white noise, recorded along a predefined grid in the room, are used to localize white noise and vocal sounds.  ...  Acoustic fingerprints of white noise, recorded along a predefined grid in the room, are used to localize white noise and vocal sounds. C7.3.  ...  Especially in device-free localization systems, recording of reference measurements for fingerprinting is a tedious, costly, and error-prone task.  ... 
doi:10.1109/ipin.2018.8533737 fatcat:rv5zjhjytjaijcqgvvvpmbfjfa

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  ., +, TIM 2021 5503113 RfLoc: A Reflector-Assisted Indoor Localization System Using a Single-An-tenna AP.  ...  Liu, Y., +, TIM 2021 6011608 Acoustic measurement Location of the Leakage From a Simulated Water-Cooling Wall Tube Based on Acoustic Method and an Artificial Neural Network.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

Tactical audio and acoustic rendering in biomedical applications

E. Jovanov, K. Wegner, V. Radivojevic, D. Starcevic, M.S. Quinn, D.B. Karron
1999 IEEE Transactions on Information Technology in Biomedicine  
We present our experience with tactical audio and acoustic rendering in biomedical applications.  ...  Tactical audio as an audio feedback is used as support for precise manual positioning of a surgical instrument in the operating room.  ...  Simple presentation modality may use a balance of stereo sound to convey information. B.  ... 
doi:10.1109/4233.767086 pmid:10719492 fatcat:aw23njynbjeh7jj7yvnbtgndo4
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