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Dual-Form ASR: Semantics-Aware Inverse Text Normalization for Chinese Speech Recognition
Modern automatic speech recognition (ASR) scenarios require both spoken-form transcripts for faithful transcription and readable written-form transcripts with inverse text normalization (ITN). However, these forms are typically produced by cascaded modules, where a spoken-form ASR output is rewritte
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