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VoiceCodeBench: Evaluating Exact Structured-Token Recovery in Automatic Speech Recognition
Automatic speech recognition (ASR) systems are commonly evaluated with word error rate (WER), yet many voice workflows depend on exact written values for identifiers, paths, and measured quantities. A transcript can appear fluent and achieve low WER while corrupting a value that a downstream system
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