yusuke1997/dblp-id-title huggingface dataset:
Self-Supervised Classification for Detecting Anomalous Sounds
Audio Tag Representation Guided Dual Attention Network for Acoustic Scene Classification
On the Effectiveness of Spatial and Multi-Channel Features for Multi-Channel Polyphonic Sound Event Detection
Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling
Acoustic Event Detection Method Using Semi-Supervised Non-Negative Matrix Factorization with Mixtures of Local Dictionaries
Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples
DCASE 2018 task 2: iterative training, label smoothing, and background noise normalization for audio event tagging
Sample mixed-based data augmentation for domestic audio tagging
Joint Training of Guided Learning and Mean Teacher Models for Sound Event Detection
Matching Text and Audio Embeddings: Exploring Transfer-Learning Strategies for Language-Based Audio Retrieval
Neural Audio Captioning Based on Conditional Sequence-to-Sequence Model
Audio feature space analysis for acoustic scene classification
Robust Non-negative Block Sparse Coding for Acoustic Novelty Detection
SONYC Urban Sound Tagging (SONYC-UST): A Multilabel Dataset from an Urban Acoustic Sensor Network
Detection and Identification of Beehive Piping Audio Signals
Improving Sound Event Detection in Domestic Environments using Sound Separation
Listen Carefully and Tell: An Audio Captioning System Based on Residual Learning and Gammatone Audio Representation
Audio Tagging using Linear Noise Modelling Layer
Acoustic Scene Classification Using Parallel Combination of LSTM and CNN
SpecAugment for Sound Event Detection in Domestic Environments using Ensemble of Convolutional Recurrent Neural Networks
Crowdsourcing a Dataset of Audio Captions
Acoustic Scene Classification in DCASE 2019 Challenge: Closed and Open Set Classification and Data Mismatch Setups
Acoustic Scene Classification by Combining Autoencoder-Based Dimensionality Reduction and Convolutional Neural Networks
Acoustic Scene Classification: An evaluation of an extremely compact feature representation
Effects of Word-Frequency Based Pre- and Post- Processings for Audio Captioning
Acoustic Scene Classification Using Deep Learning-based Ensemble Averaging
Ensemble of Sequence Matching Networks for Dynamic Sound Event Localization, Detection, and Tracking
Segment-Level Metric Learning for Few-Shot Bioacoustic Event Detection
Multi-scale convolutional recurrent neural network with ensemble method for weakly labeled sound event detection
A multi-device dataset for urban acoustic scene classification
GCC-PHAT Cross-Correlation Audio Features for Simultaneous Sound Event Localization and Detection (SELD) on Multiple Rooms
Multiple Feature Resolutions for Different Polyphonic Sound Detection Score Scenarios in DCASE 2021 Task 4
Sound event detection using weakly labelled semi-supervised data with GCRNNs, VAT and self-adaptive label refinement
Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques
Domain Generalization on Efficient Acoustic Scene Classification Using Residual Normalization
The SINS Database for Detection of Daily Activities in a Home Environment Using an Acoustic Sensor Network
Guided Learning Convolution System for DCASE 2019 Task 4
Ensemble of convolutional neural networks for general-purpose audio tagging
Two-Stage Domain Adaptation for Sound Event Detection
DCASE2017 Challenge Setup: Tasks, Datasets and Baseline System
Estimating Traffic Noise Levels Using Acoustic Monitoring a Preliminary Study
Model Selection for Deep Audio Source Separation via Clustering Analysis
Improving Sound Event Detection with Foreground-Background Classification and Domain Adaptation
Using an evolutionary approach to explore convolutional neural networks for acoustic scene classification
A report on audio tagging with deeper CNN, 1D-ConvNet and 2D-ConvNet
Knowledge Distillation from Transformers for Low-Complexity Acoustic Scene Classification
To bee or not to bee: Investigating machine learning approaches for beehive sound recognition
Anomalous Sound Detection using Unsupervised and Semi-Supervised Autoencoders and Gammatone Audio Representation
micarraylib: Software for Reproducible Aggregation, Standardization, and Signal Processing of Microphone Array Datasets
Continual Learning for Automated Audio Captioning Using the Learning without Forgetting Approach
Audio Captioning Based on Transformer and Pre-Trained CNN
Receptive-Field-Regularized CNN Variants for Acoustic Scene Classification
Meta learning based audio tagging
Quantity Over Quality? Investigating the Effects of Volume and Strength of Training Data in Marine Bioacoustics
Language-Based Audio Retrieval Task in DCASE 2022 Challenge
Improving the Performance of Automated Audio Captioning via Integrating the Acoustic and Semantic Information
A Speaker Recognition Approach to Anomaly Detection
Large-scale weakly labeled semi-supervised sound event detection in domestic environments
Iterative knowledge distillation in R-CNNs for weakly-labeled semi-supervised sound event detection
Coupled Sparse NMF vs. Random Forest Classification for Real Life Acoustic Event Detection
Urban Noise Monitoring in the Stadtlärm Project - A Field Report
Robust Sound Event Detection Through Noise Estimation and Source Separation Using NMF
Few-Shot Bioacoustic Event Detection: A New Task at the DCASE 2021 Challenge
Hierarchical Detection of Sound Events and their Localization Using Convolutional Neural Networks with Adaptive Thresholds
Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network
An Encoder-Decoder Based Audio Captioning System with Transfer and Reinforcement Learning
CL4AC: A Contrastive Loss for Audio Captioning
Urban Sound Tagging using Convolutional Neural Networks
A Real-Time Environmental Sound Recognition System for the Android OS
Convolutional Recurrent Neural Networks for Rare Sound Event Detection
Combining Multi-Scale Features Using Sample-Level Deep Convolutional Neural Networks for Weakly Supervised Sound Event Detection
Detect What You Want: Target Sound Detection
MONYC: Music of New York City Dataset
Distilling the Knowledge of Specialist Deep Neural Networks in Acoustic Scene Classification
Deep Multi-view Features from Raw Audio for Acoustic Scene Classification
A Hybrid System of Sound Event Detection Transformer and Frame-Wise Model for DCASE 2022 Task 4
Polyphonic Sound Event Detection for Highly Dense Birdsong Scenes
Synthetic Sound Event Detection based on MFCC
Sound Event Localization and Detection Using CRNN on Pairs of Microphones
Few-Shot Bioacoustic Event Detection Using an Event-Length Adapted Ensemble of Prototypical Networks
A Lightweight Approach for Semi-Supervised Sound Event Detection with Unsupervised Data Augmentation
Combining Multiple Distributions based on Sub-Cluster AdaCos for Anomalous Sound Detection under Domain Shifted Conditions
Attention-based convolutional neural networks for acoustic scene classification
An extensible cluster-graph taxonomy for open set sound scene analysis
Group Masked Autoencoder Based Density Estimator for Audio Anomaly Detection
Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Using Temporal Modulation Features on Gammatone Auditory Filterbank
Analyzing the Effect of Equal-Angle Spatial Discretization on Sound Event Localization and Detection
Fully DNN-Based Multi-Label Regression for Audio Tagging
ID-Conditioned Auto-Encoder for Unsupervised Anomaly Detection
Leveraging State-of-the-art ASR Techniques to Audio Captioning
Feature Selection Using Alternating Direction Method of Multiplier for Low-Complexity Acoustic Scene Classification
Ensemble Of Complementary Anomaly Detectors Under Domain Shifted Conditions
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), Tokyo, Japan (full virtual), November 2-4, 2020
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, DCASE 2016, Budapest, Hungary, September 3, 2016
DCASE 2017 Task 1: Acoustic Scene Classification Using Shift-Invariant Kernels and Random Features
A Dataset of Reverberant Spatial Sound Scenes with Moving Sources for Sound Event Localization and Detection
Embedded Acoustic Scene Classification for Low Power Microcontroller Devices
Combining high-level features of raw audio waves and mel-spectrograms for audio tagging
Multiple Neural Networks with Ensemble Method for Audio Tagging with Noisy Labels and Minimal Supervision
Onsets, Activity, and Events: A Multi-task Approach for Polyphonic Sound Event Modelling
MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Ggeneralization Task
Microphone Array Optimization for Autonomous-Vehicle Audio Localization Based on the Radon Transform
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, DCASE 2018, Surrey, UK, November 19-20, 2018
Improved Domain Generalization via Disentangled Multi-Task Learning in Unsupervised Anomalous Sound Detection
Active Learning for Sound Event Classification using Monte-Carlo Dropout and PANN Embeddings
Robust median-plane binaural sound source localization
Sound Source Detection, Localization and Classification using Consecutive Ensemble of CRNN Models
Low-Complexity Acoustic Scene Classification for Multi-Device Audio: Analysis of DCASE 2021 Challenge Systems
ABROA: Audio-Based Room-Occupancy Analysis Using Gaussian Mixtures and Hidden Markov Models
CoLoC: Conditioned Localizer and Classifier for Sound Event Localization and Detection
CQT-based Convolutional Neural Networks for Audio Scene Classification
A Hybrid Parametric-Deep Learning Approach for Sound Event Localization and Detection
Explaining the Decision of Anomalous Sound Detectors
General-purpose tagging of Freesound audio with AudioSet labels: task description, dataset, and baseline
Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring
Sound Event Detection and Direction of Arrival Estimation using Residual Net and Recurrent Neural Networks
Domain tuning methods for bird audio detection
Improvement of DOA Estimation by using Quaternion Output in Sound Event Localization and Detection
Waveforms and Spectrograms: Enhancing Acoustic Scene Classification Using Multimodal Feature Fusion
Audio-Visual Scene Classification: Analysis of DCASE 2021 Challenge Submissions
RU Multichannel Domestic Acoustic Scenes 2019: A Multichannel Dataset Recorded by Distributed Microphones with Various Properties
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), New York University, NY, USA, October 2019
Data-efficient weakly supervised learning for low-resource audio event detection using deep learning
Fast mosquito acoustic detection with field cup recordings: an initial investigation
Lightweight Convolutional Neural Networks on Binaural Waveforms for Low Complexity Acoustic Scene Classification
Acoustic event search with an onomatopoeic query: measuring distance between onomatopoeic words and sounds
Open-Window: A Sound Event Dataset for Window State Detection and Recognition
Gated Recurrent Networks applied to Acoustic Scene Classification
Sound Event Classification and Detection with Weakly Labeled Data
Integrating Isolated Examples with Weakly-Supervised Sound Event Detection: A Direct Approach
Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision
Weakly labeled semi-supervised sound event detection using CRNN with inception module
Sound Event Localization and Detection Based on CRNN using Rectangular Filters and Channel Rotation Data Augmentation
Assessment of Self-Attention on Learned Features For Sound Event Localization and Detection
Few-Shot Bioacoustic Event Detection at the DCASE 2022 Challenge
Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping
Evaluating Off-the-Shelf Machine Listening and Natural Language Models for Automated Audio Captioning
A Multi-Resolution Approach to Sound Event Detection in DCASE 2020 Task4
Audio tagging system using densely connected convolutional networks
Acoustic Scene Classification in DCASE 2020 Challenge: Generalization Across Devices and Low Complexity Solutions
Audio Tagging with Noisy Labels and Minimal Supervision
Domain-Adversarial Training and Trainable Parallel Front-End for the DCASE 2020 Task 4 Sound Event Detection Challenge
Convolutional Neural Network for Audibility Assessment of Acoustic Alarms
DNN-Based Sound Event Detection with Exemplar-Based Approach for Noise Reduction
Training Sound Event Detection on a Heterogeneous Dataset
Classifying Non-speech Vocals: Deep vs Signal Processing Representations
Non-Negative Matrix Factorization-Convolutional Neural Network (NMF-CNN) for Sound Event Detection
A Multi-Modal Fusion Approach for Audio-Visual Scene Classification Enhanced by CLIP Variants
Toward Interpretable Polyphonic Sound Event Detection with Attention Maps Based on Local Prototypes
Deep Neural Network Baseline for DCASE Challenge 2016
Description and Analysis of Novelties Introduced in DCASE Task 4 2022 on the Baseline System
Automated Audio Captioning by Fine-Tuning BART with AudioSet Tags
Acoustic Scene Classification with Spectrogram Processing Strategies
General-purpose audio tagging by ensembling convolutional neural networks based on multiple features
Acoustic Scene Classification using Time-Delay Neural Networks and Amplitude Modulation Filter Bank Features
The Aalto system based on fine-tuned AudioSet features for DCASE2018 task2 - general purpose audio tagging
Acoustic Scene Classification Using Deep Convolutional Neural Network and Multiple Spectrograms Fusion
Using Look, Listen, and Learn Embeddings for Detecting Anomalous Sounds in Machine Condition Monitoring
Detection of Anomalous Sounds for Machine Condition Monitoring using Classification Confidence
Using UMAP to Inspect Audio Data for Unsupervised Anomaly Detection Under Domain-Shift Conditions
Rare Sound Event Detection Using 1D Convolutional Recurrent Neural Networks
3D convolutional recurrent neural networks for bird sound detection
First Order Ambisonics Domain Spatial Augmentation for DNN-based Direction of Arrival Estimation
Sound Event Localization and Detection Based on Adaptive Hybrid Convolution and Multi-scale Feature Extractor
Continual Learning for On-Ddevice Environmental Sound Classification
Neuroevolution for Sound Event Detection in Real Life Audio: A Pilot Study
Acoustic Scene Classification from Binaural Signals using Convolutional Neural Networks
Long-distance Detection of Bioacoustic Events with Per-channel Energy Normalization
Sound Event Localization and Detection for Real Spatial Sound Scenes: Event-Independent Network and Data Augmentation Chains
Impact of Temporal Resolution on Convolutional Recurrent Networks for Audio Tagging and Sound Event Detection
Acoustic Scene Classification by Ensembling Gradient Boosting Machine and Convolutional Neural Networks
Audio Captioning Transformer
Detecting Presence Of Speech In Acoustic Data Obtained From Beehives
MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection
Ensemble of Pruned Low-Complexity Models for Acoustic Scene Classification
Acoustic scene classification using a convolutional neural network ensemble and nearest neighbor filters
Searching for Efficient Network Architectures for Acoustic Scene Classification
Low-Complexity CNNs for Acoustic Scene Classification
An Ensemble Approach to Anomalous Sound Detection Based on Conformer-Based Autoencoder and Binary Classifier Incorporated with Metric Learning
A Contrastive Semi-Supervised Learning Framework For Anomaly Sound Detection
Performance comparison of GMM, HMM and DNN based approaches for acoustic event detection within Task 3 of the DCASE 2016 challenge
Sound Event Localization and Detection using CRNN Architecture with Mixup for Model Generalization
Latent and Adversarial Data Augmentations for Sound Event Detection and Classification
MAVD: A Dataset for Sound Event Detection in Urban Environments
Pairwise Decomposition with Deep Neural Networks and Multiscale Kernel Subspace Learning for Acoustic Scene Classification
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, DCASE 2017, Munich, Germany, November 16-17, 2017
Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy
Polyphonic audio tagging with sequentially labelled data using CRNN with learnable gated linear units
DCASE 2020 Task2: Anomalous Sound Detection using Relevant Spectral Feature and Focusing Techniques in the Unsupervised Learning Scenario
Model Training that Prioritizes Rare Overlapped Labels for Polyphonic Sound Event Detection
Acoustic Scene Classification: From a Hybrid Classifier to Deep Learning
Acoustic bird detection with deep convolutional neural networks
Bidirectional LSTM-HMM Hybrid System for Polyphonic Sound Event Detection
What Makes Sound Event Localization and Detection Difficult? Insights from Error Analysis
Open-Set Acoustic Scene Classification with Deep Convolutional Autoencoders
Papafil: A Low Complexity Sound Event Localization and Detection Method with Parametric Particle Filtering and Gradient Boosting
Semi-supervised Sound Event Detection Using Multiscale Channel Attention and Multiple Consistency Training
Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments
Improved Dictionary Selection and Detection Schemes in Sparse-CNMF-Based Overlapping Acoustic Event Detection
Nonnegative Feature Learning Methods for Acoustic Scene Classification
The Impact of Missing Labels and Overlapping Sound Events on Multi-label Multi-instance Learning for Sound Event Classification
Wavelets Revisited for the Classification of Acoustic Scenes
Generative Adversarial Network Based Acoustic Scene Training Set Augmentation and Selection Using SVM Hyper-Plane
Exploring deep vision models for acoustic scene classification
Temporal Sub-Sampling of Audio Feature Sequences for Automated Audio Captioning
Task-Aware Separation for the DCASE 2020 Task 4 Sound Event Detection and Separation Challenge
Leveraging Label Hierachies for Few-Shot Everyday Sound Recognition
Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Detection for Machine Condition Monitoring Under Domain Shifted Conditions
Language-Based Audio Retrieval with Textual Embeddings of Tag Names
Fairness and Underspecification in Acoustic Scene Classification: The Case for Disaggregated Evaluations
Diversity and Bias in Audio Captioning Datasets
ToyADMOS2: Another Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection under Domain Shift Conditions
Audio Events Detection and classification using extended R-FCN Approach
A Dataset of Dynamic Reverberant Sound Scenes with Directional Interferers for Sound Event Localization and Detection
On Multitask Loss Function for Audio Event Detection and Localization
The Impact of Non-Target Events in Synthetic Soundscapes for Sound Event Detection
Acoustic scene classification using multi-scale features
Deep Autoencoding GMM-Based Unsupervised Anomaly Detection in Acoustic Signals and its Hyper-Parameter Optimization
HODGEPODGE: Sound Event Detection Based on Ensemble of Semi-Supervised Learning Methods
Vocal Imitation Set: a dataset of vocally imitated sound events using the AudioSet ontology
Multi-Task Regularization Based on Infrequent Classes for Audio Captioning
General-purpose audio tagging from noisy labels using convolutional neural networks
DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised Learning
Acoustic Scene Classification Using Spatial Features
Ensemble of Convolutional Neural Networks for Weakly-supervised Sound Event Detection Using Multiple Scale Input
Ensemble of Multiple Anomalous Sound Detectors
Robustness of Adversarial Attacks in Sound Event Classification
Acoustic Event Detection Using Speaker Recognition Techniques: Model Optimization and Explainable Features
Sound Event Detection in Domestic Environments with Weakly Labeled Data and Soundscape Synthesis
Conformer-Based Sound Event Detection with Semi-Supervised Learning and Data Augmentation
DNN-Based Audio Scene Classification for DCASE2017: Dual Input Features, Balancing Cost, and Stochastic Data Duplication
Exploring Eco-Acoustic Data with K-Determinantal Point Processes
Multi-Scale Architecture and Device-Aware Data-Random-Drop Based Fine-Tuning Method for Acoustic Scene Classification
Convolutional neural networks and x-vector embedding for DCASE2018 Acoustic Scene Classification challenge
The Details That Matter: Frequency Resolution of Spectrograms in Acoustic Scene Classification
Experiments on the DCASE Challenge 2016: Acoustic Scene Classification and Sound Event Detection in Real Life Recording
A Summarization Approach to Evaluating Audio Captioning
Multi-level attention model for weakly supervised audio classification
ARCA23K: An Audio Dataset for Investigating Open-Set Label Noise
A CRNN-GRU Based Reinforcement Learning Approach to Audio Captioning
Training general-purpose audio tagging networks with noisy labels and iterative self-verification
A Device Classification-Aided Multi-Task Framework for Low-Complexity Acoustic Scene Classification
Sound event detection from weak annotations: weighted-GRU versus multi-instance-learning
Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-Supervised Sound Event Detection
Hierarchical Sound Event Classification
Sound Event Detection in Multichannel Audio Using Spatial and Harmonic Features
Sound Event Detection Using Weakly Labeled Dataset with Stacked Convolutional and Recurrent Neural Network
The Effects of Photographic Images on Agent to Human Negotiations: The Case of the Sicilian Clan
Multiple Attribute Group Decision Making Under Hesitant Fuzzy Environment
Effect of Pollution on Transboundary River Water Trade
Eliciting Preferences with Partial Information in Multi-issue Negotiations: An Analysis of the FITradeoff-Based Negotiation Protocol
Building a Shared Model for Multi-criteria Group Decision Making - Experience from a Case Study for Sustainable Transportation Planning in Quebec City
Convergent Menus of Social Choice Rules
A Longitudinal Case Study on Risk Factor in Trust Development of Facilitated Collaboration
A Framework for Collaborative Disaster Response: A Grounded Theory Approach
Triangular Fuzzy Preferences in the Graph Model with Two Decision-Makers
Negotiating Peace: The Role of Procedural and Distributive Justice in Achieving Durable Peace
What Computers Can Tell Us About Emotions - Classification of Affective Communication in Electronic Negotiations by Supervised Machine Learning
Evolution of Society Caused by Collective and Individual Decisions - A ViSE Model Study
An MCDM Approach to Group Processes Using Choquet Integration
A Distributed Decision Making and Propagation Approach for Trust-Based Service Discovery in Social Networks
Defining Preferences and Reference Points - A Multiple Criteria Decision Making Experiment
Decision Rule Aggregation Approach to Support Group Decision Making
Fiscal-Monetary Game Analyzed with Use of a Dynamic Macroeconomic Model
Dynamic MCDM for Multi Group Decision Making
Preference Elicitation for Group Decisions
Demystifying Facilitation: A New Approach to Investigating the Role of Facilitation in Group Decision Support Processes
The Application of Item Response Theory for Analyzing the Negotiators' Accuracy in Defining Their Preferences
A Multistage Risk Decision Making Method for Normal Cloud Model with Three Reference Points
Upper Performance Limits and Distribution Invariance for Surrogate Weights in MCDA
An Ontology for Collaborative Decision Making
Choosing a Voting Procedure for the GDSS GRUS
War as a Technique of International Conflict Resolution - An Analytical Approach