When Large Language Models Meet Speech: A Survey on Integration Approaches
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Abstract (arXiv)
Recent advancements in large language models (LLMs) have spurred interest in expanding their application beyond text-based tasks. A large number of studies have explored integrating other modalities with LLMs, notably speech modality, which is naturally related to text. This paper surveys the integration of speech with LLMs, categorizing the methodologies into three primary approaches: text-based, latent-representation-based, and audio-token-based integration. We also demonstrate how these methods are applied across various speech-related applications and highlight the challenges in this field to offer inspiration for
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 83 of its 125 references that are in the map. First posted on arXiv 26 Feb 2025.
Builds on
83 of 125 references.
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Citing papers per year: 2025: 1; 2026: 8.
9 papers.
- 2026Geometric Alignment without Functional Equivalence: A Layer-wise Analysis of the Speech-Text Modality Gapcited by 7
- 2026Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Modelscited by 3
- 2025Conversational Speech Reveals Structural Robustness Failures in SpeechLLM Backbonescited by 2
- 2026PolySpeech-100: A Large-Scale Benchmark for Speech Understanding Across 100+ Languages and Dialectscited by 1
- 2026ES4R: Speech Encoding Based on Prepositive Affective Modeling for Empathetic Response Generationcited by 0
- 2026UniAudio-Token: Empowering Semantic Speech Tokenizers with General Audio Perceptioncited by 0
- 2026AOR-Bench: Do Large Audio Language Models Over-Refuse Pseudo-Harmful Queries?cited by 0
- 2026NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymizationcited by 0
- 2026A Cross Community Agenda for Speech AIcited by 0
- 2026A Cross Community Agenda for Speech AI22 Jul 2026
- 2026NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization4 Jul 2026
- 2026AOR-Bench: Do Large Audio Language Models Over-Refuse Pseudo-Harmful Queries?19 Jun 2026
- 2026PolySpeech-100: A Large-Scale Benchmark for Speech Understanding Across 100+ Languages and Dialects31 May 2026
- 2026UniAudio-Token: Empowering Semantic Speech Tokenizers with General Audio Perception29 May 2026
- 2026Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models14 Mar 2026
- 2026Geometric Alignment without Functional Equivalence: A Layer-wise Analysis of the Speech-Text Modality Gap2 Mar 2026
- 2026ES4R: Speech Encoding Based on Prepositive Affective Modeling for Empathetic Response Generation16 Jan 2026
- 2025Conversational Speech Reveals Structural Robustness Failures in SpeechLLM Backbones24 Sep 2025