On the public citation graph

ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection

https://doi.org/10.1109/waspaa.2019.8937164

0 signed · 217 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/avss.2007.4425280openalex-snapshot

Scream and gunshot detection and localization for audio-surveillance systems

inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot

ImageNet: A large-scale hierarchical image database

inferredcites →https://doi.org/10.1109/icassp.2015.7178320openalex-snapshot

A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks

inferredcites →https://doi.org/10.1109/icassp.2017.7952261openalex-snapshot

Audio Set: An ontology and human-labeled dataset for audio events

inferredcites →https://doi.org/10.1109/icassp.2018.8462181openalex-snapshot

Complementary Set Variational Autoencoder for Supervised Anomaly Detection

inferredcites →https://doi.org/10.1109/icassp.2019.8683072openalex-snapshot

AdaFlow: Domain-adaptive Density Estimator with Application to Anomaly Detection and Unpaired Cross-domain Translation

inferredcites →https://doi.org/10.1109/icassp.2019.8683667openalex-snapshot

SNIPER: Few-shot Learning for Anomaly Detection to Minimize False-negative Rate with Ensured True-positive Rate

inferredcites →https://doi.org/10.1109/icassp.2019.8683702openalex-snapshot

Anomaly Detection Based on an Ensemble of Dereverberation and Anomalous Sound Extraction

inferredcites →https://doi.org/10.1109/icassp.2019.8683790openalex-snapshot

A Two-class Hyper-spherical Autoencoder for Supervised Anomaly Detection

inferredcites →https://doi.org/10.1109/icme.2005.1521669openalex-snapshot

Events Detection for an Audio-Based Surveillance System

inferredcites →https://doi.org/10.1109/iros.2006.281790openalex-snapshot

Inspection of Visible and Invisible Features of Objects with Image and Sound Signal Processing

inferredcites →https://doi.org/10.1109/mlsp.2017.8168164openalex-snapshot

How can we detect anomalies from subsampled audio signals?

inferredcites →https://doi.org/10.1109/taslp.2017.2778423openalex-snapshot

Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge

inferredcites →https://doi.org/10.1109/taslp.2018.2877258openalex-snapshot

Unsupervised Detection of Anomalous Sound Based on Deep Learning and the Neyman–Pearson Lemma

inferredcites →https://doi.org/10.1109/tits.2015.2470216openalex-snapshot

Audio Surveillance of Roads: A System for Detecting Anomalous Sounds

inferredcites →https://doi.org/10.1109/tmm.2011.2122247openalex-snapshot

Probabilistic Novelty Detection for Acoustic Surveillance Under Real-World Conditions

inferredcites →https://doi.org/10.1109/waspaa.2019.8937183openalex-snapshot

Batch Uniformization for Minimizing Maximum Anomaly Score of Dnn-Based Anomaly Detection in Sounds

inferredcites →https://doi.org/10.1111/2041-210x.12384openalex-snapshot

Assessing the performance of a semi‐automated acoustic monitoring system for primates

inferredcites →https://doi.org/10.23919/eusipco.2017.8081297openalex-snapshot

Optimizing acoustic feature extractor for anomalous sound detection based on Neyman-Pearson lemma

inferredcites →https://doi.org/10.48550/arxiv.1904.09237openalex-snapshot

On the Convergence of Adam and Beyond

inferredcites →https://doi.org/10.5281/zenodo.1417158openalex-snapshot

Freesound Datasets: A Platform For The Creation Of Open Audio Datasets.

inferredcites →https://doi.org/10.57702/c0brh9izopenalex-snapshot

CSTR VCTK Corpus: English Multi-Speaker Corpus for CSTR Voice Cloning Toolkit

inferredcites →https://doi.org/10.7488/ds/1495openalex-snapshot

SUPERSEDED - CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR Voice Cloning Toolkit

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4507707openalex-extracted

A Lightweight Machine Learning Framework For Acoustic Health Monitoring of Industrial Machines

inferred← citeshttps://doi.org/10.5281/zenodo.4580270openalex-extracted

inferred← citeshttps://doi.org/10.5281/zenodo.4740355openalex-extracted

inferred← citeshttps://doi.org/10.5281/zenodo.6613783openalex-extracted

inferred← citeshttps://doi.org/10.1002/sdtp.14644openalex-snapshot

16‐2: Machine‐Anomaly Sound Detection Using Convolutional Recurrent Neural Network with Prediction Loss

inferred← citeshttps://doi.org/10.1007/978-3-030-79150-6_27openalex-snapshot

Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection

inferred← citeshttps://doi.org/10.1007/978-3-031-08337-2_6openalex-snapshot

A Primer for tinyML Predictive Maintenance: Input and Model Optimisation

inferred← citeshttps://doi.org/10.1007/978-3-031-42785-5_2openalex-snapshot

A Comparative Study of Neural Network Compilers on ARMv8 Architecture

inferred← citeshttps://doi.org/10.1007/978-3-031-64832-8_19openalex-snapshot

Energy-Efficient AI on the Edge

inferred← citeshttps://doi.org/10.1007/978-3-031-68617-7_4openalex-snapshot

Anomalous Sound Pattern Detection for Machine Health Monitoring

inferred← citeshttps://doi.org/10.1007/978-3-031-79035-5_3openalex-snapshot

Acoustic Features and Autoencoders for Fault Detection in Rotating Machines: A Case Study

inferred← citeshttps://doi.org/10.1007/978-3-032-23187-1_7openalex-snapshot

OpTC: Automatic Compression and Performance Estimation for Deployment of Neural Networks on AURIX TC3xx Microcontrollers

inferred← citeshttps://doi.org/10.1007/978-3-658-42060-4_4openalex-snapshot

KI-basiertes akustisches Monitoring: Herausforderungen und Lösungsansätze für datengetriebene Innovationen auf Basis audiovisueller Analyse

inferred← citeshttps://doi.org/10.1007/978-3-658-45018-2_4openalex-snapshot

OpTC – A Toolchain for Deployment of Neural Networks on AURIX TC3xx Microcontrollers

inferred← citeshttps://doi.org/10.1007/978-981-16-9416-5_36openalex-snapshot

Predicting the Health of the System Based on the Sounds

inferred← citeshttps://doi.org/10.1007/978-981-97-0601-3_18openalex-snapshot

Multi-branch Network with Cross-Domain Feature Fusion for Anomalous Sound Detection

inferred← citeshttps://doi.org/10.1007/978-981-97-3292-0_48openalex-snapshot

Sound Database of Industrial Machine for Audio Anomaly Detection

inferred← citeshttps://doi.org/10.1007/978-981-99-2401-1_9openalex-snapshot

Predictive AutoEncoders Are Context-Aware Unsupervised Anomalous Sound Detectors

inferred← citeshttps://doi.org/10.1007/978-981-99-8018-5_25openalex-snapshot

Machine Anomalous Sound Detection Based on Feature Fusion and Gaussian Mixture Model

inferred← citeshttps://doi.org/10.1007/978-981-99-8126-7_10openalex-snapshot

CLF-AIAD: A Contrastive Learning Framework for Acoustic Industrial Anomaly Detection

inferred← citeshttps://doi.org/10.1007/s00034-026-03669-1openalex-snapshot

Dual-Path Channel-attention WaveNet for Anomalous Sound Detection

inferred← citeshttps://doi.org/10.1007/s00521-022-07375-2openalex-snapshot

Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio

inferred← citeshttps://doi.org/10.1007/s11042-021-11817-9openalex-snapshot

Anomalous sound event detection: A survey of machine learning based methods and applications

inferred← citeshttps://doi.org/10.1007/s11042-023-17043-9openalex-snapshot

Anomalous sound detection for machine condition monitoring using 3D tensor representation of sound and 3D deep convolutional neural network

inferred← citeshttps://doi.org/10.1007/s11042-023-17425-zopenalex-snapshot

Multimedia datasets for anomaly detection: a review

inferred← citeshttps://doi.org/10.1007/s11042-024-18740-9openalex-snapshot

Exploring current research trends in sound event detection: a systematic literature review

inferred← citeshttps://doi.org/10.1007/s11227-022-04830-8openalex-snapshot

Hybrid deep transfer learning architecture for industrial fault diagnosis using Hilbert transform and DCNN–LSTM

inferred← citeshttps://doi.org/10.1007/s40964-024-00816-5openalex-snapshot

Condition-based monitoring techniques and algorithms in 3d printing and additive manufacturing: a state-of-the-art review

inferred← citeshttps://doi.org/10.1007/s44291-026-00271-2openalex-snapshot

Lightweight edge AI approach for real-time audio-based machine health analytics on ARM cortex-M microcontroller

inferred← citeshttps://doi.org/10.1016/j.apacoust.2023.109376openalex-snapshot

Active noise control with selective perceptual equalization to shape the residual sound

inferred← citeshttps://doi.org/10.1016/j.apacoust.2025.110828openalex-snapshot

SDMAE: A self-supervised learning method based on a self-distillation masked autoencoder for anomalous sound detection

inferred← citeshttps://doi.org/10.1016/j.asoc.2021.107630openalex-snapshot

Attention Augmented Convolutional Neural Network for acoustics based machine state estimation

inferred← citeshttps://doi.org/10.1016/j.csl.2026.102053openalex-snapshot

A problem-oriented survey of anomalous sound detection: From normality learning to deployable acoustic intelligence

inferred← citeshttps://doi.org/10.1016/j.dsp.2025.105123openalex-snapshot

An unsupervised anomalous sound detection method based on similarity-driven automatic feature selection

inferred← citeshttps://doi.org/10.1016/j.measurement.2023.113294openalex-snapshot

A survey of mechanical fault diagnosis based on audio signal analysis

inferred← citeshttps://doi.org/10.1016/j.measurement.2024.115933openalex-snapshot

Non-stationary mechanical sound source separation: An all-neural beamforming network driven by time–frequency convolution and self-attention

inferred← citeshttps://doi.org/10.1016/j.ohx.2024.e00525openalex-snapshot

Low cost MEMS accelerometer and microphone based condition monitoring sensor, with LoRa and Bluetooth Low Energy radio

inferred← citeshttps://doi.org/10.1016/j.xinn.2025.100948openalex-snapshot

Foundation models and intelligent decision-making: Progress, challenges, and perspectives

inferred← citeshttps://doi.org/10.1016/j.ymssp.2026.114634openalex-snapshot

A domain knowledge informed approach for anomaly detection of electric vehicle interior sounds

inferred← citeshttps://doi.org/10.1051/bioconf/20249700027openalex-snapshot

Designing a Deep Autoencoder Neural Network for Detecting Sound Anomalies in Smart Factories Using Unsupervised Learning

inferred← citeshttps://doi.org/10.1088/1361-6501/ad25e3openalex-snapshot

Anomaly sound detection of industrial devices by using teacher-student incremental continual learning

inferred← citeshttps://doi.org/10.1109/21cw48944.2021.9532537openalex-snapshot

Machine diagnosis using acoustic analysis: a review

inferred← citeshttps://doi.org/10.1109/access.2020.2999388openalex-snapshot

A Comprehensive Review of Polyphonic Sound Event Detection

inferred← citeshttps://doi.org/10.1109/access.2022.3231681openalex-snapshot

Sound Event Detection for Human Safety and Security in Noisy Environments

inferred← citeshttps://doi.org/10.1109/access.2023.3294334openalex-snapshot

Anomalous Sound Detection for Industrial Machines Using Acoustical Features Related to Timbral Metrics

inferred← citeshttps://doi.org/10.1109/access.2024.3380472openalex-snapshot

High-Level Design of Precision-Scalable DNN Accelerators Based on Sum-Together Multipliers

inferred← citeshttps://doi.org/10.1109/access.2024.3437192openalex-snapshot

On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case

inferred← citeshttps://doi.org/10.1109/access.2024.3471169openalex-snapshot

Acoustic Feature Extraction and Classification Techniques for Anomaly Sound Detection in the Electronic Motor of Automotive EPS

inferred← citeshttps://doi.org/10.1109/access.2024.3496543openalex-snapshot

Multi-Spectral and Multi-Temporal Features Fusion With SE Network for Anomalous Sound Detection

inferred← citeshttps://doi.org/10.1109/access.2024.3512860openalex-snapshot

A Holistic Review of the TinyML Stack for Predictive Maintenance

inferred← citeshttps://doi.org/10.1109/access.2025.3632030openalex-snapshot

Acoustic Anomaly Detection for Propeller Crack Defects: A Drone-Based Surrogate Dataset for UAM

inferred← citeshttps://doi.org/10.1109/aicas59952.2024.10595946openalex-snapshot

An Efficient Anomalous Sound Detection by Robust Processing and Reformation of Objective

inferred← citeshttps://doi.org/10.1109/andescon56260.2022.9989522openalex-snapshot

Fault Diagnosing for Electric Motors Based in Noise Data Classification Using Deep Learning

inferred← citeshttps://doi.org/10.1109/apsipaasc63619.2025.10848563openalex-snapshot

Unsupervised Anomalous Sound Detection Using Timbral and Human Voice Disorder-Related Acoustic Features

inferred← citeshttps://doi.org/10.1109/apsipaasc65261.2025.11249183openalex-snapshot

Elastic Additive Angular Margin Loss Integrated with Mixup for Anomalous Sound Detection

inferred← citeshttps://doi.org/10.1109/apsipaasc65261.2025.11249188openalex-snapshot

Retrieval-Augmented Difference Captioning to Explain Unsupervised Anomalous Sound Detection

inferred← citeshttps://doi.org/10.1109/apsipaasc65261.2025.11249328openalex-snapshot

Anomalous Sound Detection Using Time-Frequency Derivative of Instantaneous Phase Features

inferred← citeshttps://doi.org/10.1109/austrochip62761.2024.10716234openalex-snapshot

Machine Learning in Context of IoT/Edge Devices and LoLiPoP-IoT Project*

inferred← citeshttps://doi.org/10.1109/bigcomp60711.2024.00015openalex-snapshot

Machine Fault Diagnosis Using EMD-Gammatone Texture Representation and A Lightweight Self-Attention SqueezeNet

inferred← citeshttps://doi.org/10.1109/bigcomp64353.2025.00046openalex-snapshot

Few-Shot Learning-Based Machine Fault Diagnosis Using EMD-Gammatone Spectrogram with Limited Labeled Audio Dataset

inferred← citeshttps://doi.org/10.1109/bip60195.2023.10379257openalex-snapshot

Acceleration of Fully Connected Layers on FPGA using the Strassen Matrix Multiplication

inferred← citeshttps://doi.org/10.1109/cis54983.2021.00061openalex-snapshot

Unsupervised Anomalous Sound Detection For Machine Condition Using Memory-augmented Deep Autoencoder

inferred← citeshttps://doi.org/10.1109/coins57856.2023.10189239openalex-snapshot

Suitability of Forward-Forward and PEPITA Learning to MLCommons-Tiny benchmarks

inferred← citeshttps://doi.org/10.1109/ddcls58216.2023.10166451openalex-snapshot

Abnormal Sound Detection of Electrical Equipment Based on Time-Spectrum Information Fusion

inferred← citeshttps://doi.org/10.1109/ddcls61622.2024.10606600openalex-snapshot

Anomaly Detection in Rotating Machinery Sound Based on Time and Spectral Information Fusion

inferred← citeshttps://doi.org/10.1109/ddecs60919.2024.10508926openalex-snapshot

PaGoRi:A Scalable Parallel Golomb-Rice Decoder

inferred← citeshttps://doi.org/10.1109/ddecs63720.2025.11006805openalex-snapshot

Energy-Efficient Neural Network Inference through Golomb-Rice Compression of Activations for Edge Devices

inferred← citeshttps://doi.org/10.1109/dsd60849.2023.00041openalex-snapshot

Parallel Golomb-Rice Decoder with 8-bit Unary Decoding for Weight Compression in TinyML Applications

inferred← citeshttps://doi.org/10.1109/eei70303.2026.11640463openalex-snapshot

Auditable Proxy-Anomaly Generation for Label-Scarce End-of-Line Electric Drive Unit NVH Testing

inferred← citeshttps://doi.org/10.1109/esmarta70636.2026.11652168openalex-snapshot

WhisperEngineClassifier: A Transfer Learning Framework for Audio-Based Engine State Classification

inferred← citeshttps://doi.org/10.1109/gcce53005.2021.9621828openalex-snapshot

Audio Synthesis-based Data Augmentation Considering Audio Event Class

inferred← citeshttps://doi.org/10.1109/gcce65946.2025.11275252openalex-snapshot

Self-Loop Effects in Graph-Modeled Mel-Spectrogram for Acoustic Anomaly Detection

inferred← citeshttps://doi.org/10.1109/hpca61900.2025.00092openalex-snapshot

MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from μWatts to MWatts for Sustainable AI

inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9053620openalex-snapshot

SPIDERnet: Attention Network For One-Shot Anomaly Detection In Sounds

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746101openalex-snapshot

Integration of Anomaly Machine Sound Detection into Active Noise Control to Shape the Residual Sound

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747868openalex-snapshot

Anomalous Sound Detection Using Spectral-Temporal Information Fusion

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10447764openalex-snapshot

Noisy-Arcmix: Additive Noisy Angular Margin Loss Combined With Mixup For Anomalous Sound Detection

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10448451openalex-snapshot

First-Shot Unsupervised Anomalous Sound Detection with Unknown Anomalies Estimated by Metadata-Assisted Audio Generation

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095568openalex-snapshot

Joint Generative-Contrastive Representation Learning for Anomalous Sound Detection

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096054openalex-snapshot

Anomalous Sound Detection Using Audio Representation with Machine ID Based Contrastive Learning Pretraining

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096742openalex-snapshot

SW-WAVENET: Learning Representation from Spectrogram and Wavegram Using Wavenet for Anomalous Sound Detection

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10887974openalex-snapshot

Deep Generic Representations for Domain-Generalized Anomalous Sound Detection

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10888402openalex-snapshot

Keeping the Balance: Anomaly Score Calculation for Domain Generalization

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10888995openalex-snapshot

Noise Supervised Contrastive Learning and Feature-Perturbed for Anomalous Sound Detection

inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11462511openalex-snapshot

Tldiffgan: A Latent Diffusion-Gan Framework with Temporal Information Fusion for Anomalous Sound Detection

inferred← citeshttps://doi.org/10.1109/iccc62609.2024.10942268openalex-snapshot

Reconstruction-Based Spectrogram Augmentation for Anomalous Sound Detection System

inferred← citeshttps://doi.org/10.1109/iccd63220.2024.00102openalex-snapshot

WOLT: Transparent Deployment of ML Workloads on Lightweight Many-Accelerator Architectures

inferred← citeshttps://doi.org/10.1109/iccea62105.2024.10604121openalex-snapshot

Machine anomalous sound detection based on a multi-dimensional feature extraction self-encoder model

inferred← citeshttps://doi.org/10.1109/iccsc62048.2024.10830346openalex-snapshot

Real-Time Hospital Noise Detection and Classification Using IoT Devices, MFCC, and Artificial Neural Networks

inferred← citeshttps://doi.org/10.1109/icctit60726.2023.10435776openalex-snapshot

Machine Unsupervised Abnormal Sound Detection Based on Residual Autoencoder

inferred← citeshttps://doi.org/10.1109/icm52667.2021.9664952openalex-snapshot

Comparative Study of Different Activation Functions for Anomalous Sound Detection

inferred← citeshttps://doi.org/10.1109/ictis60134.2023.10243984openalex-snapshot

Detection of abnormal sound in industrial equipment based on classification and outlier calculation

inferred← citeshttps://doi.org/10.1109/icts58770.2023.10330852openalex-snapshot

Anomaly Detection in Raw Audio Using Extreme Learning Machine

inferred← citeshttps://doi.org/10.1109/iecon49645.2022.9969098openalex-snapshot

Anomalous Sound Detection, Extraction, and Localization for Refrigerator Units Using a Microphone Array

inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9533560openalex-snapshot

Deep Recurrent Interpolation Networks for Anomalous Sound Detection

inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9534290openalex-snapshot

Sub-Cluster AdaCos: Learning Representations for Anomalous Sound Detection

inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650678openalex-snapshot

Soon Filter: Advancing Tiny Neural Architectures for High Throughput Edge Inference

inferred← citeshttps://doi.org/10.1109/iscipt67144.2025.11265112openalex-snapshot

Abnormal Sound Detection in Mechanical Equipment Based on Adaptive Noise Reduction and Feature Fusion

inferred← citeshttps://doi.org/10.1109/jac-ecc61002.2023.10479614openalex-snapshot

Machine Diagnosis by Anomalous Sound Detection Using AI Techniques

inferred← citeshttps://doi.org/10.1109/jiot.2024.3352051openalex-snapshot

Delay-and-Sum Beamforming-Based Spatial Mapping for Multisource Sound Localization

inferred← citeshttps://doi.org/10.1109/jsen.2022.3210773openalex-snapshot

Machine Learning for Microcontroller-Class Hardware: A Review

inferred← citeshttps://doi.org/10.1109/jsen.2025.3556204openalex-snapshot

Lightweight Machine Sound Anomaly Detector Based on Parallel Discrete Wavelet Transform

inferred← citeshttps://doi.org/10.1109/lra.2026.3732889openalex-snapshot

SpatioDenoiser: Position-Guided Denoising via Spatial Audio Memory for Anomalous Sound Detection in Mobile Robots

inferred← citeshttps://doi.org/10.1109/lsp.2025.3606785openalex-snapshot

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection

inferred← citeshttps://doi.org/10.1109/lsp.2025.3624129openalex-snapshot

An Anomalous Sound Detection Network Based on Time-Frequency Attention and Improved One-Class Softmax

inferred← citeshttps://doi.org/10.1109/mie.2024.3391943openalex-snapshot

A Scalable Cloud–Edge Collaborative Approach for Intelligent Low-Code Fault Diagnosis: Successful Applications of Agile Migration Deployment in Heterogeneous Fault Diagnosis Scenarios

inferred← citeshttps://doi.org/10.1109/mlsp49062.2020.9231898openalex-snapshot

Unsupervised Acoustic Condition Monitoring with Riemannian Geometry

inferred← citeshttps://doi.org/10.1109/ojcoms.2023.3323832openalex-snapshot

Energy-Sustainable IoT Connectivity: Vision, Technological Enablers, Challenges, and Future Directions

inferred← citeshttps://doi.org/10.1109/paap54281.2021.9720310openalex-snapshot

Spatiotemporal Anomaly Detection for Large-Scale Sensor Data

inferred← citeshttps://doi.org/10.1109/rcae53607.2021.9638896openalex-snapshot

Audio Fault Analysis for Industrial Equipment Based on Feature Metric Engineering with CNNs

inferred← citeshttps://doi.org/10.1109/safeprocess58597.2023.10295755openalex-snapshot

Anomaly Sound Detection of Industrial Equipment Based on Incremental Learning

inferred← citeshttps://doi.org/10.1109/sii64115.2026.11404617openalex-snapshot

Spectral-to-Spatial Distillation: Denoising Framework for Real-Time Anomalous Sound Detection

inferred← citeshttps://doi.org/10.1109/smartagrisusy68475.2025.11466629openalex-snapshot

Unsupervised Methods Used in Diagnosis for Predictive Maintenance Application to Transportation Vehicles by Road

inferred← citeshttps://doi.org/10.1109/taslpro.2025.3570956openalex-snapshot

Machine Anomalous Sound Detection Using Spectral-Temporal Modulation Representations Derived From Machine-Specific Filterbanks

inferred← citeshttps://doi.org/10.1109/taslpro.2025.3606200openalex-snapshot

Exploring Self-Supervised Audio Models for Generalized Anomalous Sound Detection

inferred← citeshttps://doi.org/10.1109/taslpro.2025.3629236openalex-snapshot

Local Density-Based Anomaly Score Normalization for Domain Generalization

inferred← citeshttps://doi.org/10.1109/tcyb.2025.3527632openalex-snapshot

Industrial Foundation Model

inferred← citeshttps://doi.org/10.1109/tdsc.2026.3679695openalex-snapshot

A Passive Defense Against Out-of-Band Injection Threats to Microphone-Based Devices

inferred← citeshttps://doi.org/10.1109/tns.2026.3661863openalex-snapshot

Neural Network Acceleration on MPSoC Board: Integrating SLAC’s SNL and Auto-SNL

inferred← citeshttps://doi.org/10.1109/waspaa52581.2021.9632762openalex-snapshot

Anomalous Sound Detection Using Attentive Neural Processes

inferred← citeshttps://doi.org/10.1109/waspaa52581.2021.9632802openalex-snapshot

MIMII Due: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection with Domain Shifts Due to Changes in Operational and Environmental Conditions

inferred← citeshttps://doi.org/10.1109/zinc52049.2021.9499309openalex-snapshot

Beyond Industry 4.0: Leveraging AI-powered Anomalous Sound Detection for Smart Maintenance

inferred← citeshttps://doi.org/10.1117/12.3029124openalex-snapshot

Research on unsupervised abnormal sound detection based on self-coding model

inferred← citeshttps://doi.org/10.1142/s0218001426500060openalex-snapshot

BLIP: A BiGRU-Based Framework for Load Decomposition and Electricity Consumption Behavior Pattern Recognition in Smart Grids

inferred← citeshttps://doi.org/10.1142/s0218126625430029openalex-snapshot

Exploring Hardware-Efficient Architectures of Golomb–Rice Decoder for TinyML Applications

inferred← citeshttps://doi.org/10.1145/3520128openalex-snapshot

Federated Self-training for Semi-supervised Audio Recognition

inferred← citeshttps://doi.org/10.1145/3603171openalex-snapshot

TinyNS: Platform-aware Neurosymbolic Auto Tiny Machine Learning

inferred← citeshttps://doi.org/10.1145/3629522openalex-snapshot

ULEEN: A Novel Architecture for Ultra-low-energy Edge Neural Networks

inferred← citeshttps://doi.org/10.1145/3647750.3647756openalex-snapshot

Federated Learning with MLPerfTiny Tasks and Server-side Momentum

inferred← citeshttps://doi.org/10.1145/3744339openalex-snapshot

Designing Object Detection Models for TinyML: Foundations, Comparative Analysis, Challenges, and Emerging Solutions

inferred← citeshttps://doi.org/10.1145/3770575openalex-snapshot

A Review on Self-Supervised Learning in Time Series Anomaly Detection: Recent Advances and Open Challenges

inferred← citeshttps://doi.org/10.1145/3794786.3830795openalex-snapshot

Cross-Device Spectrum Correction for Sustainable Acoustic Monitoring of Everyday Mechanical Equipment

inferred← citeshttps://doi.org/10.1145/3812835.3814869openalex-snapshot

Poster: Reference-Based Prompting for Acoustic Anomaly Detection

inferred← citeshttps://doi.org/10.1186/s13636-023-00308-4openalex-snapshot

Transformer-based autoencoder with ID constraint for unsupervised anomalous sound detection

inferred← citeshttps://doi.org/10.1587/essfr.15.4_268openalex-snapshot

Research Trends in Environmental Sound Analysis and Anomalous Sound Detection

inferred← citeshttps://doi.org/10.20965/jrm.2021.p0629openalex-snapshot

Tracking and Visualizing Signs of Degradation for Early Failure Prediction of Rolling Bearings

inferred← citeshttps://doi.org/10.2118/211145-msopenalex-snapshot

Monitoring Mechanical Equipment on an Offshore Rig with Contrastive Learning on Acoustic Features

inferred← citeshttps://doi.org/10.21203/rs.3.rs-139087/v1openalex-snapshot

An Unsupervised Big Data Visualization-Based Scheme for Anomalous Sound Detection of Facilities

inferred← citeshttps://doi.org/10.21203/rs.3.rs-48418/v1openalex-snapshot

WITHDRAWN: IoT-based Machinery Failure Predictive Solution using Big Data Analysis on the MIMII Dataset

inferred← citeshttps://doi.org/10.21437/interspeech.2023-572openalex-snapshot

Outlier-aware Inlier Modeling and Multi-scale Scoring for Anomalous Sound Detection via Multitask Learning

inferred← citeshttps://doi.org/10.23919/cmd54214.2022.9991542openalex-snapshot

Noise-robust Early Detection of Cooling Fan Deterioration with a Variational Autoencoder-based Method

inferred← citeshttps://doi.org/10.23919/eusipco54536.2021.9616198openalex-snapshot

Anomalous Sound Detection Using a Binary Classification Model and Class Centroids

inferred← citeshttps://doi.org/10.23919/eusipco55093.2022.9909785openalex-snapshot

Hierarchical Conditional Variational Autoencoder Based Acoustic Anomaly Detection

inferred← citeshttps://doi.org/10.23919/mixdes66264.2025.11092258openalex-snapshot

Anomaly Detection on the Edge: Comparison of Reconstruction and Classification Based Approaches

inferred← citeshttps://doi.org/10.31219/osf.io/ren6dopenalex-snapshot

USING UMAP TO INSPECT AUDIO DATA FOR UNSUPERVISED ANOMALY DETECTION UNDER DOMAIN-SHIFT CONDITIONS

inferred← citeshttps://doi.org/10.32657/10356/168245openalex-snapshot

Input features for deep learning-based polyphonic sound event localization and detection

inferred← citeshttps://doi.org/10.3311/ppee.22427openalex-snapshot

Data Augmented of Mechanical Fault Sound Signal based on Generative Adversarial Networks

inferred← citeshttps://doi.org/10.33682/m76f-d618openalex-snapshot

MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection

inferred← citeshttps://doi.org/10.3389/fmed.2021.655084openalex-snapshot

Unsupervised Phonocardiogram Analysis With Distribution Density Based Variational Auto-Encoders

inferred← citeshttps://doi.org/10.3390/a16090431openalex-snapshot

Regularized Contrastive Masked Autoencoder Model for Machinery Anomaly Detection Using Diffusion-Based Data Augmentation

inferred← citeshttps://doi.org/10.3390/a19090778openalex-snapshot

Domain-Adaptive Audio Large Language Model for Acoustic Fault Diagnosis and Semantic Description of Coal Mine Equipment

inferred← citeshttps://doi.org/10.3390/app112311128openalex-snapshot

Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Using Classification-Based Methods

inferred← citeshttps://doi.org/10.3390/app12010044openalex-snapshot

Ensemble-Guided Model for Performance Enhancement in Model-Complexity-Limited Acoustic Scene Classification

inferred← citeshttps://doi.org/10.3390/app132312912openalex-snapshot

A Machine Anomalous Sound Detection Method Using the lMS Spectrogram and ES-MobileNetV3 Network

inferred← citeshttps://doi.org/10.3390/app15020584openalex-snapshot

ASDNet: An Efficient Self-Supervised Convolutional Network for Anomalous Sound Detection

inferred← citeshttps://doi.org/10.3390/app15158474openalex-snapshot

Unsupervised Anomaly Detection Method for Electrical Equipment Based on Audio Latent Representation and Parallel Attention Mechanism

inferred← citeshttps://doi.org/10.3390/electronics11121811openalex-snapshot

Introducing the ReaLISED Dataset for Sound Event Classification

inferred← citeshttps://doi.org/10.3390/electronics13163112openalex-snapshot

Machine Fault Diagnosis: Experiments with Different Attention Mechanisms Using a Lightweight SqueezeNet Architecture

inferred← citeshttps://doi.org/10.3390/electronics9122076openalex-snapshot

Audio-Based Aircraft Detection System for Safe RPAS BVLOS Operations

inferred← citeshttps://doi.org/10.3390/en19153530openalex-snapshot

Multi-Resolution Acoustic Prototype Anchoring for Limited-Sample Industrial Anomalous Sound Detection

inferred← citeshttps://doi.org/10.3390/eng4010004openalex-snapshot

Acoustic-Based Machine Condition Monitoring—Methods and Challenges

inferred← citeshttps://doi.org/10.3390/jlpea16030036openalex-snapshot

Versat-AI: An ONNX-to-SoC Compiler for Model-Agnostic CGRA Edge Inference

inferred← citeshttps://doi.org/10.3390/math13172719openalex-snapshot

ATA-MSTF-Net: An Audio Texture-Aware MultiSpectro-Temporal Attention Fusion Network

inferred← citeshttps://doi.org/10.3390/math14030530openalex-snapshot

Anomalous Sound Detection by Fusing Spectral Enhancement and Frequency-Gated Attention

inferred← citeshttps://doi.org/10.3390/s20133741openalex-snapshot

Open Set Audio Classification Using Autoencoders Trained on Few Data

inferred← citeshttps://doi.org/10.3390/s21144805openalex-snapshot

OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection

inferred← citeshttps://doi.org/10.3390/s23020770openalex-snapshot

BattleSound: A Game Sound Benchmark for the Sound-Specific Feedback Generation in a Battle Game

inferred← citeshttps://doi.org/10.3390/s24227319openalex-snapshot

Sound-Based Unsupervised Fault Diagnosis of Industrial Equipment Considering Environmental Noise

inferred← citeshttps://doi.org/10.3390/s24237478openalex-snapshot

An Efficient Anomalous Sound Detection System for Microcontrollers

inferred← citeshttps://doi.org/10.3390/s26175564openalex-snapshot

From Alarms to Probabilities: Stratified Human Review, Label-Noise Correction, and Calibrated Risk Grading for Industrial Vibration Anomaly Detection

inferred← citeshttps://doi.org/10.3390/vibration6010014openalex-snapshot

Deep Transfer Learning Models for Industrial Fault Diagnosis Using Vibration and Acoustic Sensors Data: A Review

inferred← citeshttps://doi.org/10.3397/in-2021-3258openalex-snapshot

Abnormal drone noise detection system based on the microphone array and self-supervised learning

inferred← citeshttps://doi.org/10.36001/phmap.2023.v4i1.3754openalex-snapshot

Improving Anomalous Sound Detection by Distance Matrix-Based Visualization of Measurement Flaws

inferred← citeshttps://doi.org/10.36227/techrxiv.23185658openalex-snapshot

Anomalous Sound Detection Using Serial Method with Outlier Exposure

inferred← citeshttps://doi.org/10.36227/techrxiv.23185658.v1openalex-snapshot

Anomalous Sound Detection Using Serial Method with Outlier Exposure

inferred← citeshttps://doi.org/10.4043/31828-msopenalex-snapshot

Predict Drilling Equipment Failure Using AI-Based Sound Waive Analysis Methodology

inferred← citeshttps://doi.org/10.48550/arxiv.1909.09347openalex-snapshot

MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection

inferred← citeshttps://doi.org/10.48550/arxiv.2003.04821openalex-snapshot

Benchmarking TinyML Systems: Challenges and Direction

inferred← citeshttps://doi.org/10.48550/arxiv.2006.05822openalex-snapshot

Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring

inferred← citeshttps://doi.org/10.48550/arxiv.2006.10417openalex-snapshot

Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds

inferred← citeshttps://doi.org/10.48550/arxiv.2006.15321openalex-snapshot

Anomalous Sound Detection using unsupervised and semi-supervised autoencoders and gammatone audio representation

inferred← citeshttps://doi.org/10.48550/arxiv.2007.05314openalex-snapshot

ID-Conditioned Auto-Encoder for Unsupervised Anomaly Detection

inferred← citeshttps://doi.org/10.48550/arxiv.2011.02949openalex-snapshot

Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples

inferred← citeshttps://doi.org/10.48550/arxiv.2102.07820openalex-snapshot

Anomalous Sound Detection with Machine Learning: A Systematic Review

inferred← citeshttps://doi.org/10.48550/arxiv.2110.05015openalex-snapshot

A Survey on Proactive Customer Care: Enabling Science and Steps to Realize it

inferred← citeshttps://doi.org/10.5121/ijci.2022.110403openalex-snapshot

Introduction of a Novel Anomalous Sound Detection Methodology

inferred← citeshttps://doi.org/10.5121/ijsc.2022.133openalex-snapshot

inferred← citeshttps://doi.org/10.5121/ijsc.2022.13301openalex-snapshot

Introduction of a Novel Anomalous Sound Detection Methodology

inferred← citeshttps://doi.org/10.5220/0010185800490056openalex-snapshot

Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning

inferred← citeshttps://doi.org/10.5614/itbj.ict.res.appl.2021.15.1.3openalex-snapshot

Unsupervised Detection of Anomalous Sound for Machine Condition Monitoring using Fully Connected U-Net

inferred← citeshttps://doi.org/10.5753/eniac.2025.13864openalex-snapshot

CANDAS Dataset: A Cooling Fan Sound Dataset with Modeled Disturbances and Controlled Experimental Conditions

inferred← citeshttps://doi.org/10.5753/jisa.2024.3897openalex-snapshot

Anomaly Detection in Sound Activity with Generative Adversarial Network Models

inferred← citeshttps://doi.org/10.5753/sbcup.2023.230034openalex-snapshot

Análise de redes GANs para detecção de anomalias em atividade sonoras

inferred← citeshttps://doi.org/10.70675/a04e500ezbbfcz4e68za7e4z5529dc3b44b4openalex-snapshot

Analyse des problématiques liées à la reconnaissance de sons ambiants en environnement réel

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.