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To improve the intelligibility of speech, we are using reinforcement learning, adversarial learning, and audiovisual methods. By enhancing the intelligibility of speech, individuals with dysarthric speech will be more able to be understood by both humans and machines.
The key idea of our approach is to improve intelligibility by analysis, transformation, and synthesis of a small set of perceptually-relevant speech features.
Motivation: Various research has proven that vowel articulation is a key factor in dysarthric speech intelligibility. Goal:.
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In this video seminar, Pam Marshalla discusses ten pathways to improving intelligibility in children with severe expressive speech disorders including apraxia ...
This work aims at enhancing the intelligibility of dysarthric speech towards developing an effective speech therapy tool.
Auditory training is essential. Help your client listen to himself better, to focus on the clarity of his speech. Ask him, “How did you sound on that one?” ...
In this article, we present our research with the goal of improving intelligibility of dysarthric speech using deep generative modelling. Our approach is to.
Moreover, proposed GAN-based frameworks efficiently improve the intelligibility of dysarthric speech, and generate more naturalsounding speech compared to the ...
In this study, we have significantly improved the intelligibility of dysarthric vowels of one speaker from 48% to 54%, as evaluated by a vowel identification ...
Towards Improving the Intelligibility of Dysarthric Speech - SpringerLink
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Feb 14, 2019 · This paper proposes an approach to improve the intelligibility of the dysarthric speech using a simple yet effective speech-transformation technique.