SITAR: A Situational Distortion Metric for Automatic Speech Recognition Evaluation
In automatic speech recognition (ASR), transcription errors with similar lexical or semantic discrepancies can have markedly different consequences for the situation conveyed by speech. Capturing these differences requires not merely contextual assessment, but an understanding of what the spoken discourse describes, es...
Ming-Zhe Lu, Jin-Hao Liu, Yun-Peng Li et al.
· 0 citations