An Investigation of End-to-End Speech Recognition Using Model Adaptation for Dysarthric Speakers
Year: 2020

In this paper, we present an end-to-end automatic speech recognition (ASR) system for dysarthric speech. Because the speaking style of a person suffering from an articulation disorder is quite different from that of a physically unimpaired person, speech recognition systems for such persons need to be constructed in such a way that they specialize in meeting the needs of such dysarthric people. However, the amount of training data that can be collected from dysarthric people is limited because o