Overview

Audio-language models learn to connect speech, music, and environmental sounds with language so they can answer questions, describe events, retrieve audio, and generate speech or music. Common approaches align audio and text with contrastive dual encoders, or connect audio encoders to language models through projectors, discrete tokens, or continuous representations; training often combines large-scale pretraining with instruction tuning and preference or reinforcement learning. Benchmarks increasingly test temporal grounding, overlapping sounds, multilingual speech, and conversational or clinical settings, alongside standard captioning and question-answering tasks. A central challenge is ensuring answers actually depend on acoustic evidence rather than text priors, while improving robustness, faithful reasoning, and efficiency.

Latest papers

CardsList

303 papers55 papers in the last four weeks, up 22% on the four weeks before. 0.3% of all new papers.

  1. Developing a Speech Language Model for Basque

    Oct 27, 2026Andoni Sudupe, Inma Hernaez, Ander Arriandiaga +3Speech Language ModelsAudio-Language Models

  2. TAC2: Timestamped Audio Captioning as composable functions

    Oct 27, 2026Swapnil Bhosale, Prem Seetharaman, Ke Chen +3Audio-Language ModelsAudio Captioning

  3. Audio-R1: Audio Reasoning through Reinforcement Learning on Self-Supervised Tasks

    Oct 25, 2026Jihoon Jeong, Mirco Ravanelli, Zhepei Wang +1Audio ReasoningAudio-Language Models

  4. In-Context Adapter Generation for Compositional Generalization in Large Audio Language Models

    Oct 25, 2026Yiwei Guo, Siqi Huang, Bohan Li +4Compositional GeneralizationAudio-Language Models

  5. MusicTwins: Training Audio-Language Models to Listen like Their Persona

    Oct 23, 2026Milan Liessens Dujardin, Kevin MiaoAudio-Language ModelsPersonalized Language Model Alignment

  6. Concentrated Causal Influence, Distributed Diagnostic Information: Cognitive Impairment Decisions in Large Audio-Language Models

    Oct 23, 2026Xiutian Zhao, Luqi Sun, Björn Schuller +1Audio-Language ModelsCircuits in Language Models

  7. MixJudge: Learning a Language-Queryable Critic for Vocal Mixing

    Oct 22, 2026Kuan-Hsun Ho, Yuan-Chiao Cheng, Yen-Tung Yeh +1Audio-Language ModelsAudio Editing

  8. AT-Differ: Dataset for Audio-Text Difference Captioning

    Oct 21, 2026Akihiro Fujii, Yuki Okamoto, Yuki Saito +1Audio-Text AlignmentAudio-Language Model Evaluation

  9. Heard But Not Said: Prompting Understates Temporal Information of Musical Moments in Frozen Large Audio-Language Models

    Oct 21, 2026Eunsik ShinAudio-Language ModelsAudio-Language Model Evaluation

  10. XingChen-UniFE: A Unified Generative Speech Front-End via Complementary Acoustic-Semantic Modeling

    Oct 21, 2026Kelan Kuang, Qihan Hu, Jian Kang +3Audio-Language ModelsTarget Speaker Extraction

  11. Qwen-Audio-3.1-ASR Technical Report

    Oct 20, 2026Chuanmeng Bian, Daren Chen, Peixin Chen +45Audio-Language ModelsAutomatic Speech Recognition

  12. Uncovering Audio-Text Alignment in Large Audio-Language Models through Cross-Modal Concept Neurons

    Oct 20, 2026Tzu-Quan Lin, Chih-Kai Yang, Yi-Cheng Lin +2Audio-Text AlignmentAudio-Language Models

  13. AudioScorer: Learning Question-Aware Token Relevance for Large Audio Language Models

    Oct 19, 2026Marwan Farag, Bin YangToken PruningAudio-Language Models

  14. Text Dominance in Paralinguistic Conflict: Tracing Suppression Through Audio LLM Circuits

    Oct 19, 2026Ankur Banerjee, Vishnu Guntakala, Danity Pike +3Audio-Language ModelsAudio-Language Model Evaluation

  15. DF-PALM: Dynamic Fusion Prompt Learning for Audio--Language Models

    Oct 18, 2026Yulin Sun, Shenghua Li, Yong Dou +3Few-Shot Audio ClassificationPrompt Learning

  16. VocalGrad: Evaluating Acoustic Perception in Audio Language Models

    Oct 16, 2026Koki Ryu, Hitomi YanakaAudio-Language Model EvaluationAudio Understanding

  17. ConvexLLM: Scaling Convex-Hull Speech Interfaces to General-Purpose Audio Intelligence

    Oct 16, 2026Ming-Hao Hsu, Shujie Liu, Yuxuan Hu +4Audio-Language ModelsSpeech Language Models

  18. TRACE: Trustworthy Reasoning from Acoustic Cues and Evidence

    Oct 15, 2026Giovana Morais, Yujin Kim, Atilay Kucukoglu +1Audio-Language Model EvaluationAudio-Language Models

  19. From Signals to Evidence: Interpretable Underwater Acoustic Target Sensing with Large Language Models - Part I: Framework and Recognition

    Oct 15, 2026Yuge Zhang, Jie Chen, Zhengqiao Zhao +4Underwater AcousticsAudio Representation Learning

  20. Bias Mitigation in Audio-Enabled LLMs through Adversarial Training and Distillation Methods

    Oct 15, 2026Adnan Al Ali, Jindřich Libovický, Anne LauscherAdversarial DebiasingLanguage Model Debiasing

  21. Qwen-Audio-Jev: A Unified Interface for Audio Decisions

    Oct 15, 2026Peixin Chen, Zhigao Chen, Zhiyun Fan +19Audio-Language ModelsAudio-Language Model Evaluation

  22. MedSonor: Learning to Use Clinical Audio in Medical LLMs

    Oct 14, 2026Geyang Yu, Junying Chen, Benyou WangMedical LLMsAudio-Language Models

  23. TVPara: Paralinguistic Captioning of Expressive TV-Series Speech in Complex Acoustic Environments

    Oct 14, 2026Ziyang Zhang, Wenyi Yu, Wen Wu +2Audio-Language ModelsSpeech Prosody

  24. What Does LALM Post-training Learn? Rethinking Audio Understanding and Reasoning Capabilities

    Oct 14, 2026Hua-Hsuan Chen, Xuanjun Chen, Wei-Chung Lu +5Audio-Language ModelsAudio-Language Model Evaluation

  25. ATTEST: Evidence-Grounded Reinforcement Learning for Long-Audio Temporal Understanding

    Oct 12, 2026Ashutosh Chaubey, Jinxi Guo, Minh Tran +2Temporal Audio GroundingAudio Understanding

  26. SonicWorld: Source-Centric Latent Dynamics for Spatial Audio Reasoning

    Oct 12, 2026Chenlong Wei, Hanling Wang, Mingjin Lou +6Spatial AudioSpatial Reasoning Benchmarks

  27. PitchIn: Natural-Language Vocal Coaching from Unstructured Community Feedback

    Oct 12, 2026Hayeon Bang, Hounsu Kim, Joonyong Park +2Audio-Language ModelsAudio Understanding