SOTAVerified

Audio Classification

Audio Classification is a machine learning task that involves identifying and tagging audio signals into different classes or categories. The goal of audio classification is to enable machines to automatically recognize and distinguish between different types of audio, such as music, speech, and environmental sounds.

Papers

Showing 301350 of 361 papers

TitleStatusHype
Exploring Meta Information for Audio-based Zero-shot Bird ClassificationCode0
Episodic fine-tuning prototypical networks for optimization-based few-shot learning: Application to audio classificationCode0
Enhancing Audio-Language Models through Self-Supervised Post-Training with Text-Audio PairsCode0
EDAC: Efficient Deployment of Audio Classification Models For COVID-19 DetectionCode0
Deep Feature Learning for Medical AcousticsCode0
A Deep Bag-of-Features Model for Music Auto-TaggingCode0
Cross-modal supervised learning for better acoustic representationsCode0
SpectNet : End-to-End Audio Signal Classification Using Learnable SpectrogramsCode0
A Closer Look at Weak Label Learning for Audio EventsCode0
A Training Framework for Optimal and Stable Training of Polynomial Neural NetworksCode0
Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental SoundsCode0
Convolutional RNN: an Enhanced Model for Extracting Features from Sequential DataCode0
Ubicoustics: Plug-and-Play Acoustic Activity RecognitionCode0
On-device Online Learning and Semantic Management of TinyML SystemsCode0
Compact Global Descriptor for Neural NetworksCode0
Auto deep learning for bioacoustic signalsCode0
AudRandAug: Random Image Augmentations for Audio ClassificationCode0
S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural NetworksCode0
nEMO: Dataset of Emotional Speech in PolishCode0
On the Veracity of Local, Model-agnostic Explanations in Audio Classification: Targeted Investigations with Adversarial ExamplesCode0
A Study on Broadcast Networks for Music Genre ClassificationCode0
Multi-level Attention Model for Weakly Supervised Audio ClassificationCode0
Multi-label audio classification with a noisy zero-shot teacherCode0
Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment LossesCode0
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical BayesCode0
Performance Analysis of Hybrid Quantum-Classical Convolutional Neural Networks for Audio ClassificationCode0
Audio-Visual Model Distillation Using Acoustic ImagesCode0
MAP-SNN: Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural NetworksCode0
Play It Back: Iterative Attention for Audio RecognitionCode0
Augmenting Deep Classifiers with Polynomial Neural NetworksCode0
Study of positional encoding approaches for Audio Spectrogram TransformersCode0
Audiovisual Masked AutoencodersCode0
Audiogmenter: a MATLAB Toolbox for Audio Data AugmentationCode0
Uncertainty Calibration for Deep Audio ClassifiersCode0
Pruning vs XNOR-Net: A Comprehensive Study of Deep Learning for Audio Classification on Edge-devicesCode0
LungBRN: A Smart Digital Stethoscope for Detecting Respiratory Disease Using bi-ResNet Deep Learning AlgorithmCode0
LungAttn: advanced lung sound classification using attention mechanism with dual TQWT and triple STFT spectrogramCode0
Rank-based loss for learning hierarchical representationsCode0
AudioFormer: Audio Transformer learns audio feature representations from discrete acoustic codesCode0
AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework For Asthma Classification Using Lung SoundsCode0
Look, Listen and LearnCode0
AsTFSONN: A Unified Framework Based on Time-Frequency Domain Self-Operational Neural Network for Asthmatic Lung Sound ClassificationCode0
Learning Rate CurriculumCode0
Learning Audio Concepts from Counterfactual Natural LanguageCode0
Rene: A Pre-trained Multi-modal Architecture for Auscultation of Respiratory DiseasesCode0
Attention Bottlenecks for Multimodal FusionCode0
Investigating the Emergent Audio Classification Ability of ASR Foundation ModelsCode0
ILDNet: A Novel Deep Learning Framework for Interstitial Lung Disease Identification Using Respiratory SoundsCode0
Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression ClassifierCode0
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set RecognitionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OmniVec2Test mAP0.56Unverified
2OmniVecTest mAP0.55Unverified
3EquiAVTest mAP0.55Unverified
4MAViL (Audio-Visual, single)Test mAP0.53Unverified
5Audiovisual Masked Autoencoder (Audiovisual, Single)Test mAP0.52Unverified
6CAV-MAE (Audio-Visual)Test mAP0.51Unverified
7BEATs (Audio-only, Ensemble)Test mAP0.51Unverified
8UAVM (Audio + Video)Test mAP0.5Unverified
9SSLAM (Audio-Only, Single)Test mAP0.5Unverified
10mn40_as (Ensemble)Test mAP0.5Unverified
#ModelMetricClaimedVerifiedStatus
1OmniVec2Top-1 Accuracy99.1Unverified
2InternVideo2Top-1 Accuracy98.6Unverified
3M2D2 AS+Top-1 Accuracy98.5Unverified
4OmniVecTop-1 Accuracy98.4Unverified
5BEATsTop-1 Accuracy98.1Unverified
6mn40_asTop-1 Accuracy97.45Unverified
7M2D-CLAP/0.7Top-1 Accuracy97.4Unverified
8DyMN-LTop-1 Accuracy97.4Unverified
9M2D-AS/0.7Top-1 Accuracy97.2Unverified
10HTS-ATTop-1 Accuracy97Unverified
#ModelMetricClaimedVerifiedStatus
1ADDICBHI Score65.53Unverified
2BEATs (PAFA)ICBHI Score64.84Unverified
3BTSICBHI Score63.54Unverified
4BEATs (CE)ICBHI Score63.49Unverified
5M2D-X/0.7 (η=0.3)ICBHI Score63.29Unverified
6CycleGuardianICBHI Score63.26Unverified
7M2D/0.7 (e=0.3)ICBHI Score62.73Unverified
8Audio-CLAPICBHI Score62.56Unverified
9AST (Patch-Mix CL)ICBHI Score62.37Unverified
10AFT on Mixed-500ICBHI Score61.79Unverified
#ModelMetricClaimedVerifiedStatus
1MBT (AV)Top 5 Accuracy85.6Unverified
2Mirasol3BTop 1 Accuracy69.8Unverified
3CA2ST(B/16)Top 1 Accuracy68.3Unverified
4ONE-PEACE (Audio-Visual)Top 1 Accuracy68.2Unverified
5CAVA(B/16)Top 1 Accuracy68.2Unverified
6EquiAVTop 1 Accuracy67.1Unverified
7MAViLTop 1 Accuracy67.1Unverified
8MMT (Audio-Visual)Top 1 Accuracy66.2Unverified
9CAV-MAE (Audio-Visual)Top 1 Accuracy65.9Unverified
10UAVM (Audio + Video)Top 1 Accuracy65.8Unverified
#ModelMetricClaimedVerifiedStatus
1Event-SSMPercentage correct95.9Unverified
2SNN with Dilated Convolution with Learnable SpacingsPercentage correct95.1Unverified
3SNN featuring learnable axonal delays with adaptively delay capsPercentage correct92.45Unverified
4CNNPercentage correct92.4Unverified
5SNN with spatio-temporal filters and attentionPercentage correct92.4Unverified
6SNN with temporal-wise attentionPercentage correct91.1Unverified
7SNNPercentage correct87Unverified
8Recurrent convolutional SNNPercentage correct83.5Unverified
9Recurrent SNNPercentage correct83.2Unverified
10Sparse Spiking Gradient DescentPercentage correct77.5Unverified
#ModelMetricClaimedVerifiedStatus
1ONE-PEACEmAP69.7Unverified
2MNmAP65.6Unverified
3PaSST-SmAP65.55Unverified
4DyMN-LmAP65.5Unverified
5PaSST-N-SmAP64.2Unverified
6LHGNNMean AP59Unverified
7PSLAmAP56.71Unverified
8MATPAC (SSL Model)mAP55.2Unverified
9Temporal Knowledge Distillation for On-device Audio ClassificationmAP54.8Unverified
10Large 6-Layer Transformer with PoolingmAP53.7Unverified
#ModelMetricClaimedVerifiedStatus
1EquiAVMean AP42.4Unverified
2SSLAMMean AP40.9Unverified
3EATMean AP40.3Unverified
4BEATsMean AP38.9Unverified
5Base (ours)Mean AP37.4Unverified
6SSAST-PATCHMean AP31Unverified
7SSAST-FRAMEMean AP29.2Unverified
8ConformerMean AP27.6Unverified
#ModelMetricClaimedVerifiedStatus
1PDCAccuracy97.8Unverified
2ASM-RHAccuracy96.51Unverified
3EfficientLEAFAccuracy95.2Unverified
4melspectAccuracy95.1Unverified
5LEAFAccuracy95.1Unverified
#ModelMetricClaimedVerifiedStatus
1Event-SSMAccuracy88.4Unverified
2SNN with Dilated Convolution with Learnable SpacingsAccuracy80.69Unverified
3RadLIFAccuracy77.4Unverified
4SpikGRUAccuracy77Unverified
5Adaptive SRNNAccuracy74.2Unverified
#ModelMetricClaimedVerifiedStatus
1EfficientLEAF (8s)Accuracy72.2Unverified
2EfficientLEAFAccuracy42.9Unverified
3LEAFAccuracy42.3Unverified
4melspectAccuracy39.9Unverified
#ModelMetricClaimedVerifiedStatus
1CrissCross (AudioSet)Top-1 Accuracy97Unverified
2CrissCross (Kinetics-400)Top-1 Accuracy96Unverified
3XDCTop-1 Accuracy95Unverified
4CrissCross (Kinetics-Sound)Top-1 Accuracy93Unverified
#ModelMetricClaimedVerifiedStatus
1Audiovisual Masked Autoencoder (Audiovisual, Single)Top-1 Action46Unverified
2Audiovisual Masked Autoencoder (Video-only, Single)Top-1 Action45.8Unverified
3Audiovisual Masked Autoencoder (Audio-only, Single)Top-1 Action19.7Unverified
4PlayItBackX3Top-1 Action15.9Unverified
#ModelMetricClaimedVerifiedStatus
1M2D-AS/0.7Mean AP48.5Unverified
2LHGNNMean AP46.6Unverified
3VAB-Encodec (Ours)Mean AP38.7Unverified
#ModelMetricClaimedVerifiedStatus
1EfficientLEAFAccuracy60.2Unverified
2melspectAccuracy58.8Unverified
3LEAFAccuracy50.2Unverified
#ModelMetricClaimedVerifiedStatus
1AUCO ResNetAUC0.82Unverified
2DenseNet 201AUC0.6Unverified
3Inception ResNet V2AUC0.6Unverified
#ModelMetricClaimedVerifiedStatus
1Mirasol3BAccuracy78.2Unverified
2CA2ST(B/16)Accuracy61Unverified
3CAVA(B/16)Accuracy60.3Unverified
#ModelMetricClaimedVerifiedStatus
1ASM-RH-ATop-1 Accuracy75.4Unverified
2ERANN-0-4Top-1 Accuracy74.8Unverified
#ModelMetricClaimedVerifiedStatus
1Qwen-AudioAccuracy 92.89Unverified
2VocalSound BaselineAccuracy 90.5Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoost (330)Accuracy (10-fold)99.3Unverified
#ModelMetricClaimedVerifiedStatus
1animal2vecAP0.91Unverified
#ModelMetricClaimedVerifiedStatus
1AudioAccuracy (%)64.5Unverified
#ModelMetricClaimedVerifiedStatus
1CDILFruitFlies97.09Unverified