Towards audio language modeling -- an overview
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Abstract (arXiv)
Neural audio codecs are initially introduced to compress audio data into compact codes to reduce transmission latency. Researchers recently discovered the potential of codecs as suitable tokenizers for converting continuous audio into discrete codes, which can be employed to develop audio language models (LMs). Numerous high-performance neural audio codecs and codec-based LMs have been developed. The paper aims to provide a thorough and systematic overview of the neural audio codec models and codec-based LMs.
Key facts. Cited by 40 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Feb 2024.
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Citing papers per year: 2024: 10; 2025: 22; 2026: 8.
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- 2025On The Landscape of Spoken Language Models: A Comprehensive Surveycited by 116
- 2025Audio-CoT: Exploring Chain-of-Thought Reasoning in Large Audio Language Modelcited by 60
- 2024Baichuan-Omni Technical Reportcited by 42
- 2025Recent Advances in Discrete Speech Tokens: A Reviewcited by 42
- 2025MegaTTS 3: Sparse Alignment Enhanced Latent Diffusion Transformer for Zero-Shot Speech Synthesiscited by 39
- 2025Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Surveycited by 38
- 2024Autoregressive Diffusion Transformer for Text-to-Speech Synthesiscited by 34
- 2024Foundation Models for Music: A Surveycited by 34
- 2024DASB - Discrete Audio and Speech Benchmarkcited by 32
- 2025Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insightscited by 30
- 2025Creativity in LLM-based Multi-Agent Systems: A Surveycited by 23
- 2024Preference Alignment Improves Language Model-Based TTScited by 21
28 more
- 2025XY-Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech Codecscited by 21
- 2024Language in Vivo vs. in Silico: Size Matters but Larger Language Models Still Do Not Comprehend Language on a Par with Humans Due to Impenetrable Semantic Referencecited by 15
- 2025Game-Time: Evaluating Temporal Dynamics in Spoken Language Modelscited by 13
- 2026MOSS-TTS Technical Reportcited by 10
- 2025Live Music Modelscited by 9
- 2024DC-Spin: A Speaker-invariant Speech Tokenizer for Spoken Language Modelscited by 8
- 2025GenVC: Self-Supervised Zero-Shot Voice Conversioncited by 8
- 2025From Alignment to Advancement: Bootstrapping Audio-Language Alignment with Synthetic Datacited by 7
- 2026AQUA-Bench: Beyond Finding Answers to Knowing When There Are None in Audio Question Answeringcited by 6
- 2025Layer-wise Minimal Pair Probing Reveals Contextual Grammatical-Conceptual Hierarchy in Speech Representationscited by 5
- 2025Learning Interpretable Features in Audio Latent Spaces via Sparse Autoencoderscited by 5
- 2025Learning Sparsity for Effective and Efficient Music Performance Question Answeringcited by 4
- 2026Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Modelscited by 4
- 2024Continuous Speech Tokenizer in Text To Speechcited by 3
- 2024A Closer Look at Neural Codec Resynthesis: Bridging the Gap between Codec and Waveform Generationcited by 3
- 2025CantoASR: Prosody-Aware ASR-LALM Collaboration for Low-Resource Cantonesecited by 3
- 2024VQalAttent: a Transparent Speech Generation Pipeline based on Transformer-learned VQ-VAE Latent Spacecited by 2
- 2025Analysing the Language of Neural Audio Codecscited by 2
- 2025Towards Efficient Speech-Text Jointly Decoding within One Speech Language Modelcited by 1
- 2026Aligning Paralinguistic Understanding and Generation in Speech LLMs via Multi-Task Reinforcement Learningcited by 1
- 2026The Sound of Absence: Audio-Language Embedding Models Struggle with Negationcited by 1
- 2026Language-Statistical Analysis of Neural Audio Codec Tokens Across Architectures, Corpora, and Noise Conditionscited by 1
- 2025Towards Generalized Source Tracing for Codec-Based Deepfake Speechcited by 0
- 2025Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machinecited by 0
- 2025Testing chatbots on the creation of encoders for audio conditioned image generationcited by 0
- 2025MI-Fuse: Label Fusion for Unsupervised Domain Adaptation with Closed-Source Large-Audio Language Modelcited by 0
- 2026MoVE: Translating Laughter and Tears via Mixture of Vocalization Experts in Speech-to-Speech Translationcited by 0
- 2026PolySpeech-100: A Large-Scale Benchmark for Speech Understanding Across 100+ Languages and Dialectscited by 0
- 2026Language-Statistical Analysis of Neural Audio Codec Tokens Across Architectures, Corpora, and Noise Conditions31 Aug 2026
- 2026The Sound of Absence: Audio-Language Embedding Models Struggle with Negation14 Jul 2026
- 2026PolySpeech-100: A Large-Scale Benchmark for Speech Understanding Across 100+ Languages and Dialects31 May 2026
- 2026Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models28 Apr 2026
- 2026MoVE: Translating Laughter and Tears via Mixture of Vocalization Experts in Speech-to-Speech Translation19 Apr 2026
- 2026MOSS-TTS Technical Report18 Mar 2026
- 2026Aligning Paralinguistic Understanding and Generation in Speech LLMs via Multi-Task Reinforcement Learning16 Mar 2026
- 2026AQUA-Bench: Beyond Finding Answers to Knowing When There Are None in Audio Question Answering18 Jan 2026
- 2025CantoASR: Prosody-Aware ASR-LALM Collaboration for Low-Resource Cantonese6 Nov 2025
- 2025Learning Interpretable Features in Audio Latent Spaces via Sparse Autoencoders27 Oct 2025
- 2025Game-Time: Evaluating Temporal Dynamics in Spoken Language Models30 Sep 2025
- 2025MI-Fuse: Label Fusion for Unsupervised Domain Adaptation with Closed-Source Large-Audio Language Model25 Sep 2025
28 more
- 2025Layer-wise Minimal Pair Probing Reveals Contextual Grammatical-Conceptual Hierarchy in Speech Representations19 Sep 2025
- 2025Testing chatbots on the creation of encoders for audio conditioned image generation9 Sep 2025
- 2025Analysing the Language of Neural Audio Codecs1 Sep 2025
- 2025Live Music Models6 Aug 2025
- 2025Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine17 Jul 2025
- 2025XY-Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech Codecs29 Jun 2025
- 2025Towards Generalized Source Tracing for Codec-Based Deepfake Speech8 Jun 2025
- 2025Towards Efficient Speech-Text Jointly Decoding within One Speech Language Model4 Jun 2025
- 2025Learning Sparsity for Effective and Efficient Music Performance Question Answering2 Jun 2025
- 2025Creativity in LLM-based Multi-Agent Systems: A Survey27 May 2025
- 2025From Alignment to Advancement: Bootstrapping Audio-Language Alignment with Synthetic Data26 May 2025
- 2025Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey21 May 2025
- 2025On The Landscape of Spoken Language Models: A Comprehensive Survey11 Apr 2025
- 2025MegaTTS 3: Sparse Alignment Enhanced Latent Diffusion Transformer for Zero-Shot Speech Synthesis26 Feb 2025
- 2025Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights18 Feb 2025
- 2025Recent Advances in Discrete Speech Tokens: A Review10 Feb 2025
- 2025GenVC: Self-Supervised Zero-Shot Voice Conversion6 Feb 2025
- 2025Audio-CoT: Exploring Chain-of-Thought Reasoning in Large Audio Language Model13 Jan 2025
- 2024VQalAttent: a Transparent Speech Generation Pipeline based on Transformer-learned VQ-VAE Latent Space22 Nov 2024
- 2024DC-Spin: A Speaker-invariant Speech Tokenizer for Spoken Language Models31 Oct 2024
- 2024A Closer Look at Neural Codec Resynthesis: Bridging the Gap between Codec and Waveform Generation29 Oct 2024
- 2024Continuous Speech Tokenizer in Text To Speech22 Oct 2024
- 2024Baichuan-Omni Technical Report11 Oct 2024
- 2024Preference Alignment Improves Language Model-Based TTS19 Sep 2024
- 2024Foundation Models for Music: A Survey26 Aug 2024
- 2024DASB - Discrete Audio and Speech Benchmark20 Jun 2024
- 2024Autoregressive Diffusion Transformer for Text-to-Speech Synthesis8 Jun 2024
- 2024Language in Vivo vs. in Silico: Size Matters but Larger Language Models Still Do Not Comprehend Language on a Par with Humans Due to Impenetrable Semantic Reference23 Apr 2024
- 2025Creativity in LLM-based Multi-Agent Systems: A Surveycited by 23
- 2025Creativity in LLM-based Multi-Agent Systems: A Survey27 May 2025
- 2024Preference Alignment Improves Language Model-Based TTScited by 21
- 2024Preference Alignment Improves Language Model-Based TTS19 Sep 2024
- 2024DASB - Discrete Audio and Speech Benchmarkcited by 32
- 2024DASB - Discrete Audio and Speech Benchmark20 Jun 2024
- 2025On The Landscape of Spoken Language Models: A Comprehensive Surveycited by 116
- 2024Baichuan-Omni Technical Reportcited by 42
- 2025Recent Advances in Discrete Speech Tokens: A Reviewcited by 42
- 2025Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Surveycited by 38
- 2025XY-Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech Codecscited by 21
- 2024Language in Vivo vs. in Silico: Size Matters but Larger Language Models Still Do Not Comprehend Language on a Par with Humans Due to Impenetrable Semantic Referencecited by 15
- 2025Game-Time: Evaluating Temporal Dynamics in Spoken Language Modelscited by 13
- 2026MOSS-TTS Technical Reportcited by 10
- 2025Live Music Modelscited by 9
- 2024DC-Spin: A Speaker-invariant Speech Tokenizer for Spoken Language Modelscited by 8
- 2025GenVC: Self-Supervised Zero-Shot Voice Conversioncited by 8
- 2026AQUA-Bench: Beyond Finding Answers to Knowing When There Are None in Audio Question Answeringcited by 6
12 most cited of 31 All 31 (JSON)
- 2026Language-Statistical Analysis of Neural Audio Codec Tokens Across Architectures, Corpora, and Noise Conditions31 Aug 2026
- 2026The Sound of Absence: Audio-Language Embedding Models Struggle with Negation14 Jul 2026
- 2026PolySpeech-100: A Large-Scale Benchmark for Speech Understanding Across 100+ Languages and Dialects31 May 2026
- 2026Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models28 Apr 2026
- 2026MoVE: Translating Laughter and Tears via Mixture of Vocalization Experts in Speech-to-Speech Translation19 Apr 2026
- 2026MOSS-TTS Technical Report18 Mar 2026
- 2026Aligning Paralinguistic Understanding and Generation in Speech LLMs via Multi-Task Reinforcement Learning16 Mar 2026
- 2026AQUA-Bench: Beyond Finding Answers to Knowing When There Are None in Audio Question Answering18 Jan 2026
- 2025CantoASR: Prosody-Aware ASR-LALM Collaboration for Low-Resource Cantonese6 Nov 2025
- 2025Learning Interpretable Features in Audio Latent Spaces via Sparse Autoencoders27 Oct 2025
- 2025Game-Time: Evaluating Temporal Dynamics in Spoken Language Models30 Sep 2025
- 2025MI-Fuse: Label Fusion for Unsupervised Domain Adaptation with Closed-Source Large-Audio Language Model25 Sep 2025
12 newest of 31 All 31 (JSON)