The evaluation process automation of phrase and word intelligibility using speech recognition systems

Abstract

The article proposes the application of the assessment of phrase and word intelligibility through speech recognition approach in the framework of solving the problems of speech rehabilitation after the combined treatment of oncological diseases. Speech intelligibility assessments were obtained using three speech recognition systems (Google, Yandex, Voco) and compared with expert assessments of intelligibility. Experimental results show a positive opinion about the proposed approach and they are agreed with expert assessments. Based on the processed data from rehabilitation for the Russian language, a recommendation is formulated on using the Google recognition system in the first version of the being developed product. The statistical significance of the differences in the obtained estimates of intelligibility between patient sessions and the coincidence of the sign of these differences with expert estimates and theoretical expectations are shown.