Whisper-RIR-Mega: A Paired Clean-Reverberant Speech Benchmark for ASR Robustness to Room Acoustics

Researchers introduce Whisper-RIR-Mega, a new benchmark dataset for testing automatic speech recognition robustness in reverberant acoustic environments. The study evaluates five Whisper models and finds that reverberation consistently degrades performance across all model sizes, with word error rates increasing by 0.12 to 1.07 percentage points.