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REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing

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reddit-correcting-model-generated-timestamp-drift-in-asr-without-forgetting-via-replay-based-distribution-editing-c546761d

·1 events·first seen 42h ago

Aliases: REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing

Co-occurring entities

Reddit Whisper

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Recent events (1)

4arXiv · cs.CL·42h ago·source ↗

REDDIT framework corrects timestamp drift in autoregressive ASR without catastrophic forgetting

A new arXiv paper introduces REDDIT (Replay-based Distribution EDITing), a two-stage post-training framework that corrects timestamp drift in autoregressive ASR systems like Whisper across long non-speech spans. The method updates only 1.6% of model parameters and constructs correction supervision without human annotations, using VAD-trimmed speech with inserted non-speech gaps. On Whisper-tiny, long-gap mIoU improves from 38.7% to 95.0% and out-of-domain alignment error drops from 2752 ms to 223 ms, while preserving transcription quality that ordinary SFT decoder tuning catastrophically degrades.

Evaluation and Benchmarking Reddit REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing Whisper