DANCER: Entity Description Augmented Named Entity Corrector for Automatic Speech Recognition

arXiv:2403.17645v1 Announce Type: new
Abstract: End-to-end automatic speech recognition (E2E ASR) systems often suffer from mistranscription of domain-specific phrases, such as named entities, sometimes leading to catastrophic failures in downstream tasks. A family of fast and lightweight named entity correction (NEC) models for ASR have recently been proposed, which normally build on phonetic-level edit distance algorithms and have shown impressive NEC performance. However, as the named entity (NE) list grows, the problems of phonetic confusion in the NE list are …

abstract arxiv asr automatic speech recognition cs.cl domain e2e family nec recognition speech speech recognition systems tasks type