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 251300 of 361 papers

TitleStatusHype
Learning neural audio features without supervision0
Neural Architecture Search for Energy Efficient Always-on Audio Models0
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer0
ARSC-Net: Adventitious Respiratory Sound Classification Network Using Parallel Paths with Channel-Spatial Attention0
Augmented Contrastive Self-Supervised Learning for Audio Invariant Representations0
PolyViT: Co-training Vision Transformers on Images, Videos and Audio0
Efficient Neuromorphic Signal Processing with Loihi 20
LungAttn: advanced lung sound classification using attention mechanism with dual TQWT and triple STFT spectrogramCode0
Temporal Knowledge Distillation for On-device Audio Classification0
Defensive Tensorization0
Conformer-Based Self-Supervised Learning for Non-Speech Audio Tasks0
Study of positional encoding approaches for Audio Spectrogram TransformersCode0
Rank-based loss for learning hierarchical representationsCode0
SpliceOut: A Simple and Efficient Audio Augmentation Method0
Audio Interval Retrieval using Convolutional Neural Networks0
Pruning vs XNOR-Net: A Comprehensive Study of Deep Learning for Audio Classification on Edge-devicesCode0
An empirical investigation into audio pipeline approaches for classifying bird species0
Lung Sound Classification Using Co-tuning and Stochastic Normalization0
A Multi-Head Relevance Weighting Framework For Learning Raw Waveform Audio Representations0
Temporal-wise Attention Spiking Neural Networks for Event Streams Classification0
Over-Parameterization and Generalization in Audio Classification0
On the Veracity of Local, Model-agnostic Explanations in Audio Classification: Targeted Investigations with Adversarial ExamplesCode0
Attention Bottlenecks for Multimodal FusionCode0
On fine-tuning of Autoencoders for Fuzzy rule classifiers0
Zero-Shot Federated Learning with New Classes for Audio Classification0
belabBERT: a Dutch RoBERTa-based language model applied to psychiatric classification0
Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead0
Accent Recognition with Hybrid Phonetic Features0
Audio Transformers0
IDMT-Traffic: An Open Benchmark Dataset for Acoustic Traffic Monitoring Research0
DASEE A Synthetic Database of Domestic Acoustic Scenes and Events in Dementia Patients Environment0
Augmenting Deep Classifiers with Polynomial Neural NetworksCode0
Audio feature ranking for sound-based COVID-19 patient detection0
COVID-19 Detection in Cough, Breath and Speech using Deep Transfer Learning and Bottleneck Features0
Self-paced ensemble learning for speech and audio classification0
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks0
Multi-Format Contrastive Learning of Audio Representations0
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation0
Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining0
Deep Convolutional and Recurrent Networks for Polyphonic Instrument Classification from Monophonic Raw Audio Waveforms0
Enhancing Audio Augmentation Methods with Consistency Learning0
A Universal Learnable Audio Frontend0
COVID-19 Cough Classification using Machine Learning and Global Smartphone Recordings0
A Study of Few-Shot Audio Classification0
Zero-Shot Audio Classification with Factored Linear and Nonlinear Acoustic-Semantic Projections0
Zero-Shot Audio Classification via Semantic Embeddings0
Multi-modal Self-Supervision from Generalized Data Transformations0
Detecting Aedes Aegypti Mosquitoes through Audio Classification with Convolutional Neural Networks0
LungRN+NL: An Improved Adventitious Lung Sound Classification Using Non-Local Block ResNet Neural Network with Mixup Data Augmentation0
Text-based classification of interviews for mental health -- juxtaposing the state of the artCode0
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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