Research on Automatic Speech Recognition for dysarthric speech
The effect of speech pathology on automatic speaker verification
Animate a 3D tongue based on a physics simulation of muscles and pressure.
A machine learning-based system for detecting and transcribing dysarthric speech, utilizing the TORGO dataset, advanced speech processing techniques, and a user-friendly Streamlit interface to enhance accessibility for individuals with speech impairments.
User guide, tutorial videos, presentations, logos and artwork, for an Augmentative and Alternative Communication (AAC) application, intended to be used by people suffering from speech impairments such as apraxia and/or dysarthria of speech.
Cross-platform application, developed in Flutter, for mobile phones, watches and tablets, for an Augmentative and Alternative Communication (AAC) application, intended to be used by people suffering from speech impairments such as apraxia and/or dysarthria of speech.
Web page for the project, privacy policy and terms and conditions, for an Augmentative and Alternative Communication (AAC) application, intended to be used by people suffering from speech impairments such as apraxia and/or dysarthria of speech.
A project to classify dysarthric and non-dysarthric speech using deep learning techniques.
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