Listen to the Latents: Self-Correcting Speech Recognition in Large Audio Language Models Through Hidden-State Interactions

arXiv:2609.02940 · cs.CL, cs.AI · Submitted 2026-08-31 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-08-31

Updated: 2026-08-31

Terminology

• Late Fusion — 8× in this paper · explained in 2 episodes
• Adaptation — 6× in this paper · explained in 1 episode
• Benchmark — 6× in this paper · explained in 2 episodes
• Distribution Shift — 6× in this paper · explained in 6 episodes
• Generalization — 6× in this paper · explained in 13 episodes
• Aggregation — 5× in this paper · explained in 1 episode
• Hallucination — 4× in this paper · explained in 3 episodes
• Actor — 3× in this paper · explained in 3 episodes
• Cosine Similarity — 3× in this paper · explained in 3 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• IEEE Automatic Speech Recognition and Understanding Workshop — 3× in this paper
• Robustness — 3× in this paper · explained in 5 episodes
• Automatic Speech Recognition (ASR) — 2× in this paper · explained in 2 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Agentic Approaches — 1× in this paper · explained in 1 episode
• Computational overhead — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Latent Reasoning — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Semantic Gap — 1× in this paper · explained in 2 episodes
• Semi-supervised Learning — 1× in this paper · explained in 4 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
• Reasoning Beyond Language: A Comprehensive Survey on Latent Chain-of-Thought Reasoning
• Earnings-22: A Practical Benchmark for Accents in the Wild
• How Contrastive Decoding Enhances Large Audio Language Models
• Granite-speech: open-source speech-aware LLMs with strong English ASR capabilities
• Qwen3-ASR Technical Report
• Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
• Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
• Open ASR Leaderboard: Towards Reproducible and Transparent Multilingual and Long-Form Speech Recognition Evaluation
• Speech-Hands: A Self-Reflection Voice Agentic Approach to Speech Recognition and Audio Reasoning with Omni Perception

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