Overview

Audio classification studies how to assign sounds to labels, from spoken words and music genres to bird calls, machine faults, and respiratory conditions. Systems commonly use spectrograms, mel-frequency cepstral coefficients, or raw waveforms with convolutional networks, transformers, and pretrained or self-supervised audio encoders; limited-label settings also use transfer learning, few-shot methods, and audio-language models. Benchmarks such as AudioSet, ESC-50, UrbanSound8K, and ICBHI test different tasks, but strong benchmark scores may not carry over across recording devices, locations, speakers, or species. A central challenge is building reliable models from scarce or weak labels while avoiding data leakage and shortcuts, and keeping models efficient enough for clinical and on-device use.

Latest papers

CardsList

147 papers18 papers in the last four weeks, up 6% on the four weeks before. 0.1% of all new papers.

  1. YMIR: A new Benchmark Dataset and Model for Arabic Yemeni Music Genre Classification Using Convolutional Neural Networks

    Apr 6, 2026Moeen AL-Makhlafi, Abdulrahman A. AlKannad, Eiad Almekhlafi +2Music Information RetrievalAudio Classification

  2. Can LLM Agents Identify Spoken Dialects like a Linguist?

    Mar 31, 2026Tobias Bystrich, Lukas Hamm, Maria Hassan +3Audio ClassificationLLM Agents

  3. How Class Ontology and Data Scale Affect Audio Transfer Learning

    Mar 26, 2026Manuel Milling, Andreas Triantafyllopoulos, Alexander Gebhard +2Transfer LearningAudio Classification

  4. Unlocking Strong Supervision: A Data-Centric Study of General-Purpose Audio Pre-Training Methods

    Mar 26, 2026Xuanru Zhou, Yiwen Shao, Wei-Cheng Tseng +1Audio Representation LearningAudio Classification

  5. BioDCASE 2026 Challenge Baseline for Cross-Domain Mosquito Species Classification

    Mar 20, 2026Yuanbo Hou, Vanja Zdravkovic, Marianne Sinka +5BioacousticsAudio Classification

  6. Music Genre Classification: A Comparative Analysis of Classical Machine Learning and Deep Learning Approaches

    Mar 16, 2026Sachin Prajuli, Abhishek Karna, OmPrakash DhaklAudio ClassificationMusic Information Retrieval

  7. Geo-ATBench: A Benchmark for Geospatial Audio Tagging with Geospatial Semantic Context

    Mar 11, 2026Yuanbo Hou, Yanru Wu, Qiaoqiao Ren +3Audio ClassificationSound Event Detection

  8. Abjad-Kids: An Arabic Speech Classification Dataset for Primary Education

    Mar 11, 2026Abdul Aziz Snoubara, Baraa Al_Maradni, Haya Al_Naal +4Speech ProcessingAudio Classification

  9. Quantifying Cross-Lingual Transfer in Paralinguistic Speech Tasks

    Mar 9, 2026Pol Buitrago, Oriol Pareras, Federico Costa +1Speaker VerificationSpeech Processing

  10. Soundscapes in Spectrograms: Pioneering Multilabel Classification for South Asian Sounds

    Mar 9, 2026Sudip Chakrabarty, Pappu Bishwas, Rajdeep Chatterjee +3Audio ClassificationMulti-Label Classification

  11. Towards Objective Gastrointestinal Auscultation: Automated Segmentation and Annotation of Bowel Sound Patterns

    Mar 7, 2026Zahra Mansour, Verena Uslar, Dirk Weyhe +2Sound Event DetectionAudio Classification

  12. LMU-Based Sequential Learning and Posterior Ensemble Fusion for Cross-Domain Infant Cry Classification

    Feb 24, 2026Niloofar Jazaeri, Hilmi R. Dajani, Marco Janeczek +1Audio ClassificationEnsemble Learning

  13. Fairness-Aware Partial-label Domain Adaptation for Voice Classification of Parkinson's and ALS

    Feb 20, 2026Arianna Francesconi, Zhixiang Dai, Arthur Stefano Moscheni +7Parkinson's Disease Detection from SpeechDomain Adaptation

  14. Investigating Target Class Influence on Neural Network Compressibility for Energy-Autonomous Avian Monitoring

    Feb 19, 2026Nina Brolich, Simon Geis, Maximilian Kasper +3Bird Vocalization ClassificationEnergy-Efficient ML

  15. Hardware-accelerated graph neural networks: an alternative approach for neuromorphic event-based audio classification and keyword spotting on SoC FPGA

    Feb 18, 2026Kamil Jeziorek, Piotr Wzorek, Krzysztof Blachut +6Audio ClassificationKeyword Spotting

  16. Embryonic Exposure to VPA Influences Chick Vocalisations: A Computational Study

    Jan 18, 2026Antonella M. C. Torrisi, Inês Nolasco, Paola Sgadò +2Audio Classification

  17. DHAuDS: A Dynamic and Heterogeneous Audio Benchmark for Test-Time Adaptation

    Nov 23, 2025Weichuang Shao, Iman Yi Liao, Tomas Henrique Bode Maul +1Test-Time AdaptationNeural Network Robustness

  18. BabyHuBERT: Multilingual Self-Supervised Learning for Segmenting Speakers in Child-Centered Long-Form Recordings

    Sep 18, 2025Théo Charlot, Tarek Kunze, Maxime Poli +3Speech Foundation ModelsSpeech Processing

  19. Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals

    Sep 15, 2025Milan Marocchi, Matthew Fynn, Kayapanda Mandana +1Synthetic Data AugmentationMultimodal Classification

  20. Localized time-frequency representation learning for bioacoustic classification in complex soundscapes

    Feb 19, 2025Simen Hexeberg, Mandar Chitre, Matthias Hoffmann-Kuhnt +1BioacousticsAudio Classification

  21. Classifying bioacoustic data without individual call annotations using temporal convolutional networks and feature extractors

    Oct 22, 2024Laia Garrobé Fonollosa, Douglas Gillespie, Lina Stankovic +2BioacousticsPassive Acoustic Monitoring

  22. Topology-enhanced machine learning for speech signal processing

    Nov 26, 2023Pingyao Feng, Qingrui Qu, Haiyu Zhang +4Interpretable MLSpeech Processing

  23. Robust Wake-Up Word Detection by Two-stage Multi-resolution Ensembles

    Oct 17, 2023Fernando López, Jordi Luque, Carlos Segura +1Keyword SpottingEnsemble Learning