Optimising Speaker-Dependent Feature Extraction Parameters to Improve Automatic Speech Recognition Performance for People with Dysarthria

Optimising Speaker-Dependent Feature Extraction Parameters to Improve Automatic Speech Recognition Performance for People with Dysarthria

Within the field of Automatic Speech Recognition (ASR) systems, facing impaired speech is a big challenge because standard approaches are ineffective in the presence of dysarthria. The first aim of our work is to confirm the effectiveness of a new speech analysis technique for speakers with dysarthr...

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Bibliographic Details
Main Authors: Marco Marini, Nicola Vanello, Luca Fanucci
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sensors
Subjects:
dysarthria
automatic speech recognition
speech analysis
genetic algorithm
kaldi
Online Access:https://www.mdpi.com/1424-8220/21/19/6460

Internet

https://www.mdpi.com/1424-8220/21/19/6460

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