Lost in Speech: Trilingual Spoken Hallucination Detection Across Audio and Transcripts

arXiv:2608.24707 · cs.CL · Submitted 2026-08-25 · Read on arXiv

cs.CL

Submitted: 2026-08-25

Updated: 2026-09-22

Code: https://github.com/snakers4/silero-models

Terminology

• Hallucination — 81× in this paper · explained in 3 episodes
• Benchmark — 22× in this paper · explained in 2 episodes
• Provenance — 19× in this paper · explained in 4 episodes
• Hallucination Detection — 15× in this paper · explained in 2 episodes
• Accuracy — 12× in this paper · explained in 1 episode
• Factual Accuracy — 9× in this paper
• Consistency — 8× in this paper · explained in 3 episodes
• Internal Consistency — 7× in this paper
• LLM-as-a-Judge — 7× in this paper · explained in 3 episodes
• Logical Coherence — 7× in this paper
• Alignment — 4× in this paper · explained in 1 episode
• Robustness — 4× in this paper · explained in 5 episodes
• External Validation — 3× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Grounding — 3× in this paper · explained in 3 episodes
• Low-Resource Languages — 3× in this paper · explained in 4 episodes
• Adequacy of Inconsistency Type — 2× in this paper
• Core — 2× in this paper · explained in 2 episodes
• Distribution Shift — 2× in this paper · explained in 6 episodes
• LLM judge — 2× in this paper · explained in 2 episodes
• Modality Gap — 2× in this paper · explained in 4 episodes
• Proceedings of the Conference on Language Modeling — 2× in this paper
• Abstraction — 1× in this paper · explained in 1 episode
• Accountability — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Empirical Methods in Natural Language Processing — 1× in this paper
• Fidelity — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Synthetic Data Generation — 1× in this paper · explained in 5 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• HalluVerse25: Fine-grained Multilingual Benchmark Dataset for LLM Hallucinations
• Lost in Transcription, Found in Distribution Shift: Demystifying Hallucination in Speech Foundation Models
• Multimodal Audio-textual Architecture for Robust Spoken Language Understanding
• Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models
• A Survey on LLM-as-a-Judge
• Sparks of Large Audio Models: A Survey and Outlook
• Controlled Automatic Task-Specific Synthetic Data Generation for Hallucination Detection
• KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking

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