DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment
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Abstract (arXiv)
Recent speech language models (SLMs) typically incorporate pre-trained speech models to extend the capabilities from large language models (LLMs). In this paper, we propose a Descriptive Speech-Text Alignment approach that leverages speech captioning to bridge the gap between speech and text modalities, enabling SLMs to interpret and generate comprehensive natural language descriptions, thereby facilitating the capability to understand both linguistic and non-linguistic features in speech. Enhanced with the proposed approach, our model demonstrates superior performance on the Dynamic-SUPERB benchmark, particularly in generalizing to unseen tasks. Moreover, we discover that the aligned model exhibits a zero-shot instruction-following capability without explicit speech instruction tuning. These findings highlight the potential to reshape instruction-following SLMs by incorporating rich, descriptive speech captions.
Key facts. Cited by 32 papers in the map (data through 7 Oct 2026). Builds on 29 of its 31 references that are in the map. First posted on arXiv 27 Jun 2024.
Builds on
29 of 31 references.
References · 29
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Citing papers per year: 2024: 6; 2025: 18; 2026: 8.
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- 2025On The Landscape of Spoken Language Models: A Comprehensive Surveycited by 116
- 2025DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal Alignmentcited by 47
- 2024DeSTA2: Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning Datacited by 43
- 2025Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Surveycited by 38
- 2024Can Large Audio-Language Models Truly Hear? Tackling Hallucinations with Multi-Task Assessment and Stepwise Audio Reasoningcited by 29
- 2024Speech-Copilot: Leveraging Large Language Models for Speech Processing via Task Decomposition, Modularization, and Program Generationcited by 27
- 2025Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Modelscited by 27
- 2024Salmon: A Suite for Acoustic Language Model Evaluationcited by 24
- 2025Reducing Object Hallucination in Large Audio-Language Models via Audio-Aware Decodingcited by 22
- 2025AudioLens: A Closer Look at Auditory Attribute Perception of Large Audio-Language Modelscited by 18
- 2025Teaching Audio-Aware Large Language Models What Does Not Hear: Mitigating Hallucinations through Synthesized Negative Samplescited by 11
- 2025Analyzing Mitigation Strategies for Catastrophic Forgetting in End-to-End Training of Spoken Language Modelscited by 11
20 more
- 2025When Large Language Models Meet Speech: A Survey on Integration Approachescited by 9
- 2024MERaLiON-AudioLLM: Bridging Audio and Language with Large Language Modelscited by 7
- 2025From Alignment to Advancement: Bootstrapping Audio-Language Alignment with Synthetic Datacited by 7
- 2024SpeechCaps: Advancing Instruction-Based Universal Speech Models with Multi-Talker Speaking Style Captioningcited by 6
- 2025Steering Language Model to Stable Speech Emotion Recognition via Contextual Perception and Chain of Thoughtcited by 5
- 2026All That Glitters Is Not Audio: Rethinking Text Priors and Audio Reliance in Audio-Language Evaluationcited by 5
- 2025Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Modelscited by 4
- 2025LiSTEN: Learning Soft Token Embeddings for Neural Audio LLMscited by 3
- 2025Towards Reliable Large Audio Language Modelcited by 3
- 2025AHAMask: Reliable Task Specification for Large Audio Language Models without Instructionscited by 3
- 2025Audio-Maestro: Enhancing Large Audio-Language Models with Tool-Augmented Reasoningcited by 3
- 2025ISA-Bench: Benchmarking Instruction Sensitivity for Large Audio Language Modelscited by 3
- 2026ASPIRin: Action Space Projection for Interactivity-Optimized Reinforcement Learning in Full-Duplex Speech Language Modelscited by 3
- 2026How Auditory Knowledge in LLM Backbones Shapes Audio Language Models: A Holistic Evaluationcited by 2
- 2026Investigating the Viability of Employing Multi-modal Large Language Models in the Context of Audio Deepfake Detectioncited by 1
- 2026ALARM: Audio-Language Alignment for Reasoning Modelscited by 1
- 2025MERaLiON-SER: Robust Speech Emotion Recognition Model for English and SEA Languagescited by 0
- 2026Encoder-Side Neuron Identification and Amplification for Acoustic Perception in Large Audio-Language Modelscited by 0
- 2026Do Spoken Language Models Hear Speech as They Read Text? Bridging Structural Gaps Between Speech and Textcited by 0
- 2026Quantifying the Generation Modality Gap in Speech-Text Language Modelscited by 0
- 2026Quantifying the Generation Modality Gap in Speech-Text Language Models13 Sep 2026
- 2026Do Spoken Language Models Hear Speech as They Read Text? Bridging Structural Gaps Between Speech and Text24 Aug 2026
- 2026Encoder-Side Neuron Identification and Amplification for Acoustic Perception in Large Audio-Language Models13 Jul 2026
- 2026All That Glitters Is Not Audio: Rethinking Text Priors and Audio Reliance in Audio-Language Evaluation27 Apr 2026
- 2026ASPIRin: Action Space Projection for Interactivity-Optimized Reinforcement Learning in Full-Duplex Speech Language Models11 Apr 2026
- 2026How Auditory Knowledge in LLM Backbones Shapes Audio Language Models: A Holistic Evaluation19 Mar 2026
- 2026ALARM: Audio-Language Alignment for Reasoning Models10 Mar 2026
- 2026Investigating the Viability of Employing Multi-modal Large Language Models in the Context of Audio Deepfake Detection2 Jan 2026
- 2025MERaLiON-SER: Robust Speech Emotion Recognition Model for English and SEA Languages7 Nov 2025
- 2025ISA-Bench: Benchmarking Instruction Sensitivity for Large Audio Language Models27 Oct 2025
- 2025Audio-Maestro: Enhancing Large Audio-Language Models with Tool-Augmented Reasoning13 Oct 2025
- 2025AHAMask: Reliable Task Specification for Large Audio Language Models without Instructions1 Sep 2025
20 more
- 2025Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models10 Aug 2025
- 2025DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal Alignment3 Jul 2025
- 2025Reducing Object Hallucination in Large Audio-Language Models via Audio-Aware Decoding8 Jun 2025
- 2025AudioLens: A Closer Look at Auditory Attribute Perception of Large Audio-Language Models5 Jun 2025
- 2025From Alignment to Advancement: Bootstrapping Audio-Language Alignment with Synthetic Data26 May 2025
- 2025Towards Reliable Large Audio Language Model25 May 2025
- 2025Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models25 May 2025
- 2025LiSTEN: Learning Soft Token Embeddings for Neural Audio LLMs24 May 2025
- 2025Analyzing Mitigation Strategies for Catastrophic Forgetting in End-to-End Training of Spoken Language Models23 May 2025
- 2025Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey21 May 2025
- 2025Teaching Audio-Aware Large Language Models What Does Not Hear: Mitigating Hallucinations through Synthesized Negative Samples20 May 2025
- 2025On The Landscape of Spoken Language Models: A Comprehensive Survey11 Apr 2025
- 2025When Large Language Models Meet Speech: A Survey on Integration Approaches26 Feb 2025
- 2025Steering Language Model to Stable Speech Emotion Recognition via Contextual Perception and Chain of Thought25 Feb 2025
- 2024MERaLiON-AudioLLM: Bridging Audio and Language with Large Language Models13 Dec 2024
- 2024Can Large Audio-Language Models Truly Hear? Tackling Hallucinations with Multi-Task Assessment and Stepwise Audio Reasoning21 Oct 2024
- 2024DeSTA2: Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning Data30 Sep 2024
- 2024Salmon: A Suite for Acoustic Language Model Evaluation11 Sep 2024
- 2024SpeechCaps: Advancing Instruction-Based Universal Speech Models with Multi-Talker Speaking Style Captioning25 Aug 2024
- 2024Speech-Copilot: Leveraging Large Language Models for Speech Processing via Task Decomposition, Modularization, and Program Generation13 Jul 2024
- 2024Can Large Audio-Language Models Truly Hear? Tackling Hallucinations with Multi-Task Assessment and Stepwise Audio Reasoningcited by 29
- 2024MERaLiON-AudioLLM: Bridging Audio and Language with Large Language Modelscited by 7
- 2025Steering Language Model to Stable Speech Emotion Recognition via Contextual Perception and Chain of Thoughtcited by 5
- 2026All That Glitters Is Not Audio: Rethinking Text Priors and Audio Reliance in Audio-Language Evaluationcited by 5
- 2025Audio-Maestro: Enhancing Large Audio-Language Models with Tool-Augmented Reasoningcited by 3
- 2026ALARM: Audio-Language Alignment for Reasoning Modelscited by 1
- 2026All That Glitters Is Not Audio: Rethinking Text Priors and Audio Reliance in Audio-Language Evaluation27 Apr 2026
- 2026ALARM: Audio-Language Alignment for Reasoning Models10 Mar 2026
- 2025Audio-Maestro: Enhancing Large Audio-Language Models with Tool-Augmented Reasoning13 Oct 2025
- 2025Steering Language Model to Stable Speech Emotion Recognition via Contextual Perception and Chain of Thought25 Feb 2025
- 2024MERaLiON-AudioLLM: Bridging Audio and Language with Large Language Models13 Dec 2024
- 2024Can Large Audio-Language Models Truly Hear? Tackling Hallucinations with Multi-Task Assessment and Stepwise Audio Reasoning21 Oct 2024
- 2025On The Landscape of Spoken Language Models: A Comprehensive Surveycited by 116
- 2024DeSTA2: Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning Datacited by 43
- 2025Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Surveycited by 38
- 2024Speech-Copilot: Leveraging Large Language Models for Speech Processing via Task Decomposition, Modularization, and Program Generationcited by 27
- 2025Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Modelscited by 27
- 2024Salmon: A Suite for Acoustic Language Model Evaluationcited by 24
- 2025Reducing Object Hallucination in Large Audio-Language Models via Audio-Aware Decodingcited by 22
- 2025AudioLens: A Closer Look at Auditory Attribute Perception of Large Audio-Language Modelscited by 18
- 2025Teaching Audio-Aware Large Language Models What Does Not Hear: Mitigating Hallucinations through Synthesized Negative Samplescited by 11
- 2025Analyzing Mitigation Strategies for Catastrophic Forgetting in End-to-End Training of Spoken Language Modelscited by 11
- 2025When Large Language Models Meet Speech: A Survey on Integration Approachescited by 9
- 2024SpeechCaps: Advancing Instruction-Based Universal Speech Models with Multi-Talker Speaking Style Captioningcited by 6
12 most cited of 23 All 23 (JSON)
- 2026Quantifying the Generation Modality Gap in Speech-Text Language Models13 Sep 2026
- 2026Do Spoken Language Models Hear Speech as They Read Text? Bridging Structural Gaps Between Speech and Text24 Aug 2026
- 2026Encoder-Side Neuron Identification and Amplification for Acoustic Perception in Large Audio-Language Models13 Jul 2026
- 2026ASPIRin: Action Space Projection for Interactivity-Optimized Reinforcement Learning in Full-Duplex Speech Language Models11 Apr 2026
- 2026How Auditory Knowledge in LLM Backbones Shapes Audio Language Models: A Holistic Evaluation19 Mar 2026
- 2025MERaLiON-SER: Robust Speech Emotion Recognition Model for English and SEA Languages7 Nov 2025
- 2025ISA-Bench: Benchmarking Instruction Sensitivity for Large Audio Language Models27 Oct 2025
- 2025AHAMask: Reliable Task Specification for Large Audio Language Models without Instructions1 Sep 2025
- 2025Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models10 Aug 2025
- 2025Reducing Object Hallucination in Large Audio-Language Models via Audio-Aware Decoding8 Jun 2025
- 2025AudioLens: A Closer Look at Auditory Attribute Perception of Large Audio-Language Models5 Jun 2025
- 2025Towards Reliable Large Audio Language Model25 May 2025
12 newest of 23 All 23 (JSON)
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