語音資料增量技術應用於構音障礙輔具之效益

Data Augmentation Technology for Dysarthria Assistive Systems

以語音驅動之溝通輔具是構音障礙患者常用的方式之一。然而這類輔具需要患者大量的錄製語音來提升系統效益，而常造成使用上的困難。有鑑於此，本研究提出與音增量技術來是圖減少患者錄音負擔並提升溝通輔具辨識效益。於研究結果證明，所提出之構音障礙語音生成系統能產生類患者語音提升溝通輔具於重覆語句之辨識率。此外，於患者Free-talk情況下的字詞錯誤率可由64.42%降至4.39%。而這些成果也證實本論文提出之方法將對溝通輔具發展有所幫助。

Voice-driven communication aids are one of the methods commonly used by patients with dysarthria. However, this type of assistive devices demands a large amount of voice data from patients to increase the effectiveness. In the meantime, this will sink patients into an overwhelming recording burden. Due to those difficulties, this research proposes a voice augmentation system to conquer the aforementioned concern. Furthermore, the system can improve the recognition efficiency. The results of this research reveal that the proposed speech generator system for dysarthria can launch corpus to be more similarities to the patient's speech. Moreover, the recognition rate, in duplicate sentences, has been improved and promoted to the higher level. The word error rate can be reduced from 64.42% to 4.39% in the case of patients with Free-talk. According to these results, our proposed system can provide more reliable and helpful technique for the development of communication aids.