VoxEffects is a new annotated speech dataset and benchmark for audio effect presence detection, preset classification, and intensity prediction, with robustness testing against degradations.
Decoupled weight decay regulariza- tion,
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RAS is a reliability metric for ASR that trades off informativeness against error aversion via human-calibrated abstention, trained with supervised bootstrapping plus reinforcement learning to improve reliability while keeping accuracy competitive.
citing papers explorer
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VoxEffects: A Speech-Oriented Audio Effects Dataset and Benchmark
VoxEffects is a new annotated speech dataset and benchmark for audio effect presence detection, preset classification, and intensity prediction, with robustness testing against degradations.
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RAS: a Reliability Oriented Metric for Automatic Speech Recognition
RAS is a reliability metric for ASR that trades off informativeness against error aversion via human-calibrated abstention, trained with supervised bootstrapping plus reinforcement learning to improve reliability while keeping accuracy competitive.