Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Assessment of Speech Quality during Speech Rehabilitation Based on the Solution of the Classification Problem

Version 1 : Received: 8 December 2021 / Approved: 13 December 2021 / Online: 13 December 2021 (10:10:36 CET)

How to cite: Kostyuchenko, E.; Rakhmanenko, I.; Shelupanov, A.; Balatskaya, L.; Sidorov, I. Assessment of Speech Quality during Speech Rehabilitation Based on the Solution of the Classification Problem. Preprints 2021, 2021120196. https://doi.org/10.20944/preprints202112.0196.v1 Kostyuchenko, E.; Rakhmanenko, I.; Shelupanov, A.; Balatskaya, L.; Sidorov, I. Assessment of Speech Quality during Speech Rehabilitation Based on the Solution of the Classification Problem. Preprints 2021, 2021120196. https://doi.org/10.20944/preprints202112.0196.v1

Abstract

The article considers an approach to the problem of assessing the quality of speech during speech rehabilitation as a classification problem. For this, a classifier is built on the basis of an LSTM neural network for dividing speech signals into two classes: before the operation and immediately after. At the same time, speech before the operation is the standard to which it is necessary to approach in the process of rehabilitation. The metric of belonging of the evaluated signal to the reference class acts as an assessment of speech. An experimental assessment of rehabilitation sessions and a comparison of the resulting assessments with expert assessments of phrasal intelligibility were carried out.

Keywords

Speech Rehabilitation; Speech Quality Assessment; LSTM

Subject

Computer Science and Mathematics, Information Systems

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