Chad M. Cunningham, is a Speech-Language Pathologist with over 10 years of experience in the field.
He is the founding member of Continuum Communication PLLC.
He specializes in neurological disorders and cognitive communication with a special interest in the utility of AI and machine learning in the field of Speech Language Pathology.
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By Chad M Cunningham, MS SLP
1/23/2024
Project Euphonia and LSVT are two initiatives working together to improve automatic speech recognition (ASR) for people with speech disorders, particularly those impacted by Parkinson's disease (PD) and other neurological conditions. Here's a breakdown of their collaboration:
Project Euphonia:
Google Research project: Launched by Google AI, Euphonia aims to bridge the gap between standard ASR and non-standard speech patterns caused by neurological disorders.
Data collection: The project relies on volunteers with speech disorders to record speech samples, helping train ASR models to better understand diverse vocalizations.
Partnerships: Euphonia collaborates with various organizations, including LSVT Global, to reach potential participants and gather high-quality data.
LSVT Global:
Gold standard treatment model: LSVT Global specializes in the Lee Silverman Voice Treatment (LSVT), a proven program for improving speech clarity and volume for people with PD.
Participant recruitment: LSVT Global leverages its extensive network of patients and clinics to identify and recruit volunteers for Project Euphonia.
Expertise in speech disorders: LSVT's deep understanding of the specific challenges faced by people with PD helps guide the data collection and analysis process in Euphonia.
Together, Project Euphonia and LSVT aim to:
Improve ASR accuracy: By training ASR models on diverse speech data, the project aims to significantly increase recognition accuracy for people with speech disorders.
Empower communication: Improved ASR will allow people with speech disabilities to use voice-controlled devices more effectively, enhancing their independence and communication abilities.
Drive research: The collected data will serve as a valuable resource for researchers studying speech disorders and developing new speech-based technologies.
The collaboration between Project Euphonia and LSVT represents a promising step towards more inclusive and accessible technology for people with speech disorders.
Additional information:
https://sites.research.google/euphonia/about/