RAS is a reliability-oriented metric for ASR that balances informativeness and error aversion via human-calibrated abstention, paired with a training method using supervised bootstrapping and reinforcement learning.
Datasets We conduct experiments on two datasets: LibriSpeech [22], a widely used English audiobook corpus, and the TALCS Cor- pus [27], an English-Mandarin code-switching dataset
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RAS: a Reliability Oriented Metric for Automatic Speech Recognition
RAS is a reliability-oriented metric for ASR that balances informativeness and error aversion via human-calibrated abstention, paired with a training method using supervised bootstrapping and reinforcement learning.