Inappropriate Pause Detection In Dysarthric Speech Using Large-Scale Speech Recognition

arXiv:2402.18923v1 Announce Type: new
Abstract: Dysarthria, a common issue among stroke patients, severely impacts speech intelligibility. Inappropriate pauses are crucial indicators in severity assessment and speech-language therapy. We propose to extend a large-scale speech recognition model for inappropriate pause detection in dysarthric speech. To this end, we propose task design, labeling strategy, and a speech recognition model with an inappropriate pause prediction layer. First, we treat pause detection as speech recognition, using an automatic speech recognition (ASR) model to convert …

abstract arxiv assessment cs.cl cs.sd design detection eess.as impacts inappropriate issue language patients recognition scale speech speech recognition stroke therapy type