This study examines the use of commercially available automatic speech recognition (ASR) across microphone options as access to environmental control for individuals with and without @entity4653 . A study of two groups of speakers (typical speech and @entity4653 ), was conducted to understand their performance using ASR and various microphones for environmental control. Specifically, dependent variables examined included attempts per command, recognition accuracy, frequency of error type, and perceived workload. A further sub-analysis of the group of @entity1 with @entity4653 examined the impact of severity. Results indicated a significantly larger number of attempts were required (P = 0.007), and significantly lower recognition accuracies were achieved by the dysarthric @entity1 (P = 0.010). A sub-analysis examining severity demonstrated no significant differences between the typical speakers and @entity1 with mild @entity4653 . However, significant differences were evident (P = 0.007, P = 0.008) between mild and moderate-severe dysarthric @entity1 . No significant differences existed across microphones. A higher frequency of threshold errors occurred for typical @entity1 and no response errors for moderate-severe dysarthrics. There were no significant differences on the NASA Task Load Index.

Speech Recognition for Environmental Control: Effect of Microphone Type, XXXX , and Severity on Recognition Results.

@entity1 :: ('9606', 'Species') :: ['participants'] @entity4653 :: ('MESH:D004401', 'Disease') :: ['dysarthria']
@entity4653 :: (MESH:D004401,Disease) :: ['Dysarthria']
