Audio Language Models

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Audio

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Large Audio Language Models

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Audio Latent

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Audio Representation

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Acoustic Representation

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Music Editing

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Audio Encoders

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Audio Flow

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478 papers

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SpurAudio: A Benchmark for Studying Shortcut Learning in Few-Shot Audio Classification
May 13, 2026Giries Abu Ayoub, Morad Tukan, Loay MualemSpeech Separation Audio
Bypassing Direct Reconstruction: Speech Detection from MEG via Large-Scale Audio Retrieval
May 13, 2026Boda Xiao, Bo Wang, Heping ChengSpeaker Recognition Audio Representation
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation
May 12, 2026Guohui Zhang, XiaoXiao Ma, Jie Huang +9Joint Audio-Video Generation Pre-Trained Video Diffusion Models
A Semi-Supervised Framework for Speech Confidence Detection using Whisper
May 12, 2026Adam Wynn, Jingyun WangSpeaker Recognition Speaker Attributes
SyncDPO: Enhancing Temporal Synchronization in Video-Audio Joint Generation via Preference Learning
May 12, 2026Xin Cheng, Xihua Wang, Ying Ba +5Joint Audio-Video Generation Spatio-Temporal Coherence
Keep What Audio Cannot Say: Context-Preserving Token Pruning for Omni-LLMs
May 12, 2026Chaeyoung Jung, Kyeongha Rho, Joon Son ChungVisual Token Pruning Audio-Visual Reasoning
TB-AVA: Text as a Semantic Bridge for Audio-Visual Parameter Efficient Finetuning
May 12, 2026Seongah Kim, Dinh Phu Tran, Hyeontaek Hwang +3Audio Latent Cross-Modal Learning
Afrispeech Semantics: Evaluating Audio Semantic Reasoning in Spoken Language Models Across Domains and Accents
May 11, 2026Chibuzor Okocha, Christan GrantLarge Audio Language Models Paralinguistic Cues
Probing Cross-modal Information Hubs in Audio-Visual LLMs
May 11, 2026Jihoo Jung, Chaeyoung Jung, Ji-Hoon Kim +1Large Audio Language Models Cross-Modal Learning
Multi-layer attentive probing improves transfer of audio representations for bioacoustics
May 11, 2026Marius Miron, David Robinson, Masato Hagiwara +15Passive Acoustic Monitoring Audio Representation
Drum Synthesis from Expressive Drum Grids via Neural Audio Codecs
May 11, 2026Konstantinos Soiledis, Maximos Kaliakatsos-Papakostas, Dimos Makris +1Neural Audio Codecs Conversational Music Recommendation
APEX: Audio Prototype EXplanations for Classification Tasks
May 11, 2026Piotr Kawa, Kornel Howil, Piotr Borycki +3Audio Representation Audio
PoDAR: Power-Disentangled Audio Representation for Generative Modeling
May 11, 2026Alejandro Luebs, Mithilesh Vaidya, Ishaan Kumar +5Audio Latent Audio Representation
EchoDistill:Alignment Noisy-to-Clean Self-Distillation for Robust Audio LLMs
May 11, 2026Liang Lin, Chunxi Luo, Kaiwen Luo +9Large Audio Language Models Audio
Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias
May 9, 2026Aishwarya Fursule, Shruti Kshirsagar, Anderson R. AvilaAudio Deepfake Detection Acoustic Representation
Omni-DeepSearch: A Benchmark for Audio-Driven Omni-Modal Deep Search
May 9, 2026Tao Yu, yiming ding, Shenghua Chai +16Omni-Modal Multimodal Search Agents
Communicating Sound Through Natural Language
May 9, 2026Emanuele Rossi, Emanuele RodolàAcoustic Representation Sonification
Unison: Harmonizing Motion, Speech, and Sound for Human-Centric Audio-Video Generation
May 9, 2026Shihao Cheng, Jiaxu Zhang, Quanyue Song +6Joint Audio-Video Generation Audio Latent
BeeVe: Unsupervised Acoustic State Discovery in Honey Bee Buzzing
May 8, 2026Hamze Hammami, Nidhal AbdulazizPassive Acoustic Monitoring Bees
MultiLinguahah : A New Unsupervised Multilingual Acoustic Laughter Segmentation Method
May 7, 2026Sofia Callejas, Nahuel Gomez, Catherine Pelachaud +2Humor Multilingual Automatic Speech Recognition
Quantum Kernels for Audio Deepfake Detection Using Spectrogram Patch Features
May 7, 2026Lisan Al Amin, Rakib Hossain, Mahbubul Islam +2Audio Deepfake Detection Mel-Frequency Cepstral Coefficient
Sparse Tokens Suffice: Jailbreaking Audio Language Models via Token-Aware Gradient Optimization
May 6, 2026Zheng Fang, Xiaosen Wang, Shenyi Zhang +2Audio Tokens Large Language Model Jailbreaks
VocalParse: Towards Unified and Scalable Singing Voice Transcription with Large Audio Language Models
May 6, 2026Yukun Chen, Tianrui Wang, Zhaoxi Mu +2Singing Voice Conversion Large Audio Language Models
Benchmarking LLMs on the Massive Sound Embedding Benchmark (MSEB)
May 6, 2026Cyril Allauzen, Tom Bagby, Georg Heigold +2Large Audio Language Models Audio Latent
Audio-Visual Intelligence in Large Foundation Models
May 5, 2026You Qin, Kai Liu, Shengqiong Wu +12Audio-Visual Reasoning Multimodal Foundation Model
Towards Open World Sound Event Detection
May 5, 2026P. H. Hai, L. T. Minh, L. H. SonOpen-Vocabulary Object Detection Audio Representation
Ecologically-Constrained Task Arithmetic for Multi-Taxa Bioacoustic Classifiers Without Shared Data
May 5, 2026Ragib Amin Nihal, Benjamin Yen, Runwu Shi +2Passive Acoustic Monitoring Acoustic Representation
Deepfake Audio Detection Using Self-supervised Fusion Representations
May 5, 2026Khalid Zaman, Qixuan Huang, Muhammad Uzair +1Audio Deepfake Detection Discrete Speech Representations
ReasonAudio: A Benchmark for Evaluating Reasoning Beyond Matching in Text-Audio Retrieval
May 5, 2026Honglei Zhang, Yuting Chen, Chenpeng Hu +2Audio Reasoning Benchmark
Shao: Scaling Acoustic Token Language Models Toward High-Fidelity Music Generation
May 3, 2026Jiafeng Liu, Yuanliang Dong, Hongjia Liu +8Music Generation Audio Tokens
MG-Former: A Transformer-Based Framework for Music-Driven 3D Conducting Gesture Generation
May 2, 2026Ke Qiu, Yawen Qin, Tianzhi Jia +3Co-Speech Gesture Generation Audio Latent
MedMosaic: A Challenging Large Scale Benchmark of Diverse Medical Audio
May 1, 2026Harshit Rajgarhia, Shuubham Ojha, Asif Shaik +4Multimodal Clinical Data Diagnostic Benchmark
MMAudio-LABEL: Audio Event Labeling via Audio Generation for Silent Video
May 1, 2026Kazuya Tateishi, Akira Takahashi, Atsuo Hiroe +3Joint Audio-Video Generation Audio
GaMMA: Towards Joint Global-Temporal Music Understanding in Large Multimodal Models
May 1, 2026Zuyao You, Zhesong Yu, Mingyu Liu +3Music Understanding Audio Encoders
Fast Text-to-Audio Generation with One-Step Sampling via Energy-Scoring and Auxiliary Contextual Representation Distillation
May 1, 2026Kuan-Po Huang, Bo-Ru Lu, Byeonggeun Kim +8Audio Latent Zero-Shot Text-To-Speech
Alethia: A Foundational Encoder for Voice Deepfakes
Apr 30, 2026Yi Zhu, Brahmi Dwivedi, Jayaram Raghuram +1Audio Deepfake Detection Deepfake Detection
From Birdsong to Rumbles: Classifying Elephant Calls with Out-of-Species Embeddings
Apr 30, 2026Christiaan M. Geldenhuys, Thomas R. NieslerAudio Latent Bird
Hearing the Room Through the Shape of the Drum: Modal-Guided Sound Recovery from Multi-Point Surface Vibrations
Apr 29, 2026Shai Bagon, Matan Kichler, Mark SheininVibration Speckle
Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models
Apr 28, 2026Chun-Yi Kuan, Wei-Ping Huang, Hung-yi LeeLarge Audio Language Models Large Language Model Uncertainty
S-SONDO: Self-Supervised Knowledge Distillation for General Audio Foundation Models
Apr 27, 2026Mohammed Ali El Adlouni, Aurian Quelennec, Pierre Chouteau +2Audio Latent Knowledge Distillation
All That Glitters Is Not Audio: Rethinking Text Priors and Audio Reliance in Audio-Language Evaluation
Apr 27, 2026Leonardo Haw-Yang Foo, Chih-Kai Yang, Chen-An Li +2Large Audio Language Models Audio Representation
Exploring Audio Hallucination in Egocentric Video Understanding
Apr 26, 2026Ashish Seth, Xinhao Mei, Changsheng Zhao +9Audio-Visual Reasoning Hallucination Rate
HeadRouter: Dynamic Head-Weight Routing for Task-Adaptive Audio Token Pruning in Large Audio Language Models
Apr 26, 2026Peize He, Yaodi Luo, Xiaoqian Liu +7Audio Tokens Large Audio Language Models
Personalizing Causal Audio-Driven Facial Motion via Dynamic Multi-modal Retrieval
Apr 26, 2026Xuangeng Chu, Yu Han, Wei Mao +1Facial Animation Facial Expression Recognition
Robust Audio-Text Retrieval via Cross-Modal Attention and Hybrid Loss
Apr 25, 2026Meizhu Liu, Matthew Rowe, Amit Agarwal +8Audio Representation Cross-Modal Attention
Au-M-ol: A Unified Model for Medical Audio and Language Understanding
Apr 25, 2026Meizhu Liu, Nistha Mitra, Paul Li +3Large Audio Language Models Audio
Audio Effect Estimation with DNN-Based Prediction and Search Algorithm
Apr 24, 2026Youichi Okita, Haruhiro KatayoseSpectral Reconstruction Audio
AUDITA: A New Dataset to Audit Humans vs. AI Skill at Audio QA
Apr 23, 2026Tasnim Kabir, Dmytro Kurdydyk, Aadi Palnitkar +3Audio Representation Algorithm Auditing
SpeechParaling-Bench: A Comprehensive Benchmark for Paralinguistic-Aware Speech Generation
Apr 22, 2026Ruohan Liu, Shukang Yin, Tao Wang +6Paralinguistic Cues Large Audio Language Models
ATIR: Towards Audio-Text Interleaved Contextual Retrieval
Apr 22, 2026Tong Zhao, Chenghao Zhang, Yutao Zhu +1Audio Representation Multimodal Retrieval
MMControl: Unified Multi-Modal Control for Joint Audio-Video Generation
Apr 21, 2026Liyang Li, Wen Wang, Canyu Zhao +4Joint Audio-Video Generation Multimodal Generation
HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models
Apr 21, 2026Feiyu Zhao, Yiming Chen, Wenhuan Lu +3Large Audio Language Models Hallucination Detection
UAF: A Unified Audio Front-end LLM for Full-Duplex Speech Interaction
Apr 21, 2026Yadong Li, Guoxin Wu, Haiping Hou +1Full-Duplex Speech Models Large Audio Language Models
Aligning Language Models for Lyric-to-Melody Generation with Rule-Based Musical Constraints
Apr 20, 2026Hao Meng, Siyuan Zheng, Shuran Zhou +2Music Generation Large Language Model Alignment
Omni-Embed-Audio: Leveraging Multimodal LLMs for Robust Audio-Text Retrieval
Apr 20, 2026HaeJun Yoo, Yongseop Shin, Insung Lee +2Audio Representation Multimodal Learning
Incremental learning for audio classification with Hebbian Deep Neural Networks
Apr 20, 2026Riccardo Casciotti, Francesco De Santis, Alberto Antonietti +1Domain Incremental Learning Continual Learning Methods
Multiplication in Multimodal LLMs: Computation with Text, Image, and Audio Inputs
Apr 20, 2026Samuel G. Balter, Ethan Jerzak, Connor T. JerzakArithmetic Perceptual Understanding
Audio-DeepThinker: Progressive Reasoning-Aware Reinforcement Learning for High-Quality Chain-of-Thought Emergence in Audio Language Models
Apr 20, 2026Xiang He, Chenxing Li, Jinting Wang +5Audio Representation Chain-of-Thought Reasoning
Putting HUMANS first: Efficient LAM Evaluation with Human Preference Alignment
Apr 20, 2026Woody Haosheng Gan, William Held, Diyi YangLarge Audio Language Models Mean Opinion Scores
VIBE: Voice-Induced open-ended Bias Evaluation for Large Audio-Language Models via Real-World Speech
Apr 19, 2026Yi-Cheng Lin, Yusuke Hirota, Sung-Feng Huang +1Large Language Model Bias Large Audio Language Models

May 13, 2026 · cs.CVJ/K move · Enter open · S save

SpurAudio: A Benchmark for Studying Shortcut Learning in Few-Shot Audio Classification

Giries Abu Ayoub, Morad Tukan, Loay Mualem

Independent Researcher · University of Stuttgart, Germany · IMPRS-IS, Germany

Few-shot classification (FSC) is widely used for learning from limited labeled data, yet most evaluations implicitly assume that target concepts are independent of contextual cues. In real-world settings, however, examples often appear within rich contexts, allowing models to exploit spurious correlations between foreground content and background signals. While such effects have been studied in few-shot image classification, their role in few-shot audio classification remains largely unexplored, and existing audio benchmarks offer limited control over contextual structure. We introduce SpurAudio, a benchmark that leverages the natural separability of foreground events and background environments in audio to enable controlled, multi-level evaluation of contextual shifts across support and query sets. Using this benchmark, we show that many state-of-the-art few-shot methods suffer severe performance degradation when background correlations are disrupted, despite achieving similar accuracy under standard evaluation protocols. Crucially, this vulnerability persists even in large pretrained audio foundation models, ruling out limited backbone capacity as an explanation. Moreover, methods that appear comparable under conventional benchmarks can exhibit markedly different sensitivity to spurious correlations, revealing systematic algorithmic strengths and vulnerabilities tied to how feature representations interact with classifier heads at inference time. These findings provide new insight into the behavior of few-shot methods in audio and highlight the need for benchmarks that explicitly probe context dependence when evaluating FSC models.

Speech Separation Audio Shortcuts Ground-Truth Signal

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