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Automatic Scene Recognition through Acoustic Classification for Behavioral Robotics
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Pattern recognition with support vector machines : First International Workshop, SVM 2002, Niagara Falls, Canada, August 10, 2002 : proceedings
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Sound Environment Analysis in Smart Home
inferredcites →https://doi.org/10.1016/0031-3203(95)00067-4openalex-snapshot
A comparative study of texture measures with classification based on featured distributions
inferredcites →https://doi.org/10.1016/j.apacoust.2017.11.007openalex-snapshot
Real-time hierarchical classification of sound signals for hearing improvement devices
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Fall detection through acoustic Local Ternary Patterns
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Environmental sound classification with dilated convolutions
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Matching pursuit based robust acoustic event classification for surveillance systems
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A mutual local-ternary-pattern based method for aligning differently exposed images
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Local binary features for texture classification: Taxonomy and experimental study
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Localization of sound sources in robotics: A review
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Music genre classification using LBP textural features
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ECG beat classification using wavelets and SVM
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Environmental sound recognition by multilayered neural networks
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Sound event classification using bidirectional local binary pattern
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Rethinking the Inception Architecture for Computer Vision
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Deep Residual Learning for Image Recognition
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TUT database for acoustic scene classification and sound event detection
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Daily sound recognition for elderly people using ensemble methods
inferredcites →https://doi.org/10.1109/icassp.2014.6854161openalex-snapshot
Acoustic feature extraction by statistics based local binary pattern for environmental sound classification
inferredcites →https://doi.org/10.1109/icassp.2014.6854744openalex-snapshot
Robust acoustic feature extraction for sound classification based on noise reduction
inferredcites →https://doi.org/10.1109/icassp.2017.7952132openalex-snapshot
CNN architectures for large-scale audio classification
inferredcites →https://doi.org/10.1109/icassp.2017.7952265openalex-snapshot
Deep Neural Network based learning and transferring mid-level audio features for acoustic scene classification
inferredcites →https://doi.org/10.1109/icce.2014.6775946openalex-snapshot
Acoustic feature extraction for robust event recognition on cleaning robot platform
inferredcites →https://doi.org/10.1109/iros.2009.5354241openalex-snapshot
Daily sound recognition using Pitch-Cluster-Maps for mobile robot audition
inferredcites →https://doi.org/10.1109/iscas.2006.1692543openalex-snapshot
An efficient MFCC extraction method in speech recognition
inferredcites →https://doi.org/10.1109/lsp.2013.2295858openalex-snapshot
Revealing the Traces of Median Filtering Using High-Order Local Ternary Patterns
inferredcites →https://doi.org/10.1109/smc.2017.8122836openalex-snapshot
A framework for fall detection of elderly people by analyzing environmental sounds through acoustic local ternary patterns
inferredcites →https://doi.org/10.1109/tase.2013.2285131openalex-snapshot
Gabor-Based Nonuniform Scale-Frequency Map for Environmental Sound Classification in Home Automation
inferredcites →https://doi.org/10.1109/tasl.2009.2017438openalex-snapshot
Environmental Sound Recognition With Time–Frequency Audio Features
inferredcites →https://doi.org/10.1109/taslp.2014.2375575openalex-snapshot
Histogram of gradients of Time-Frequency Representations for Audio Scene Detection
inferredcites →https://doi.org/10.1109/tip.2009.2035882openalex-snapshot
Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor
inferredcites →https://doi.org/10.1109/tip.2010.2042645openalex-snapshot
Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions
inferredcites →https://doi.org/10.1109/tmm.2016.2618218openalex-snapshot
Sound-Event Classification Using Robust Texture Features for Robot Hearing
inferredcites →https://doi.org/10.1109/waspaa.2013.6701857openalex-snapshot
Large-scale audio feature extraction and SVM for acoustic scene classification
inferredcites →https://doi.org/10.1145/3005338.3005343openalex-snapshot
Scene analysis through auditory event monitoring
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.13140/rg.2.1.2598.3208openalex-snapshot
Speech Recognition using MFCC
inferredcites →https://doi.org/10.3390/electronics7040050openalex-snapshot
Real-Time Detection of Important Sounds with a Wearable Vibration Based Device for Hearing-Impaired People
inferredcites →https://doi.org/10.3390/electronics8020164openalex-snapshot
Automatic Emotion-Based Music Classification for Supporting Intelligent IoT Applications
inferredcites →https://doi.org/10.3844/jcssp.2013.1.15openalex-snapshot
OPTIMIZED LOCAL TERNARY PATTERNS: A NEW TEXTURE MODEL WITH SET OF OPTIMAL PATTERNS FOR TEXTURE ANALYSIS
inferredcites →https://doi.org/10.5281/zenodo.43342openalex-snapshot
A Database And Challenge For Acoustic Scene Classification And Event Detection
inferredcites →https://doi.org/10.63317/4isrjar9j7ixopenalex-snapshot
Acoustical Sound Database in Real Environments for Sound Scene Understanding and Hands-Free Speech Recognition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Late Fusion of Convolutional Neural Network with Wavelet-Based Ensemble Classifier for Acoustic Scene Classification
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Deep Scene Fusion: A Hybrid Deep Learning-CNN Approach for Scene Recognition
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Acoustic scene classification: A comprehensive survey
inferred← citeshttps://doi.org/10.1016/j.iswa.2022.200115openalex-snapshot
Environmental Sound Classification: A descriptive review of the literature
inferred← citeshttps://doi.org/10.1016/j.measurement.2020.107790openalex-snapshot
Deep neural network based environment sound classification and its implementation on hearing aid app
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inferred← citeshttps://doi.org/10.1109/fuzz48607.2020.9177532openalex-snapshot
Acoustic Event Detection Using Fuzzy Integral Ensemble and Oriented Fuzzy Local Binary Pattern Encoded CNN
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