Evaluation of the syllables pronunciation quality in speech rehabilitation through the solution of the classification problem

01/25/2023
by   Evgeny Kostyuchenko, et al.
0

The solution of the problem of assessing the quality of the pronunciation of syllables during speech rehabilitation after surgical treatment of oncological diseases of the organs of the speech-forming tract is considered in the work. The assessment is carried out by solving the problem of classifying syllables into two classes: before and immediately after surgical treatment. A classifier is built on the basis of the LSTM neural network and trained on the records before the operation and immediately after it, before the start of speech rehabilitation. The measure of assessing the quality of syllables pronunciation in the process of rehabilitation is the metric of belonging to the class before the operation. A study is being made of the influence of taking into account problematic phonemes, the gender of the patient, his individual characteristics on the resulting estimates of the quality of pronunciation. A comparison with existing types of syllable pronunciation quality assessments is carried out, recommendations are given for the practical application of the resulting new class of pronunciation quality assessments.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/04/2021

InQSS: a speech intelligibility assessment model using a multi-task learning network

Speech intelligibility assessment models are essential tools for researc...
research
05/02/2022

Assessing unconstrained surgical cuttings in VR using CNNs

We present a Convolutional Neural Network (CNN) suitable to assess uncon...
research
09/21/2022

Assessing ASR Model Quality on Disordered Speech using BERTScore

Word Error Rate (WER) is the primary metric used to assess automatic spe...
research
03/26/2020

Speech Quality Factors for Traditional and Neural-Based Low Bit Rate Vocoders

This study compares the performances of different algorithms for coding ...
research
02/14/2022

Analysis of Neural Fragility: Bounding the Norm of a Rank-One Perturbation Matrix

Over 15 million epilepsy patients worldwide do not respond to drugs and ...
research
06/21/2017

Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy

Objective: Surgical data science is evolving into a research field that ...

Please sign up or login with your details

Forgot password? Click here to reset