Testing Sentence-in-Noise Recognition With Synthetic Speech and Automatic Speech Recognition

Speech-in-noise recognition varied for different human and synthetic talkers, with some indication of greater consistency in intelligibility for synthetic speech. This variability did not seem to be related to perceived human likeness. Human scoring was more accurate than automatic machine scoring for open-set sentences, but results were in close agreement for both methods. These results provide tentative support for the use of synthetic speech and machine scoring when evaluating masked-sentence recognition.