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Related Experiment Video

Updated: Jul 10, 2026

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis
05:48

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Published on: August 9, 2024

My Voice Library: Protocol for Developing Audio and Visual Datasets to Enable Personalized Real-Time Communication

Petra Karlsson1, Andrea Bandini2,3,4, Michelle McInerney5,6,7

  • 1Faculty of Medicine and Health, Cerebral Palsy Alliance, The University of Sydney, 88 Mallett Street, Camperdown, NB, 2050, Australia, 61 0447508661.

JMIR Research Protocols
|July 8, 2026
PubMed
Summary

My Voice Library collects speech data from children with cerebral palsy and dysarthria to develop personalized communication technology. This aims to improve speech recognition and real-time communication for affected children.

Keywords:
cerebral palsycommunicationpatient and public involvementspeech impairmenttechnology

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Area of Science:

  • Speech-language pathology
  • Biomedical engineering
  • Assistive technology

Background:

  • Children with cerebral palsy and dysarthria face significant communication barriers impacting social and academic participation.
  • Current assistive technologies for dysarthric speech are slow and arduous, often misinterpreted as intellectual impairment.
  • High-quality speech datasets are crucial for developing personalized speech-recognition algorithms.

Purpose of the Study:

  • To establish the My Voice Library, a repository of audio-visual speech data from Australian children with cerebral palsy and dysarthria.
  • To facilitate the development of personalized speech-recognition approaches for real-time communication.
  • To support speech and language therapists, engineers, and programmers in creating advanced communication solutions.

Main Methods:

  • Utilizing gamified modules based on the Frenchay Dysarthria Assessment 2 for data collection.
  • Implementing a robust ethics and consenting process allowing participant choice for data usage.
  • Collecting data in controlled yet naturalistic environments to enhance clinical relevance.

Main Results:

  • Data collection commenced in March 2024, with 13 of 99 target participants recruited by April 2026.
  • Preliminary data analysis began in 2026, with expected publication of initial findings in 2027.
  • The database will remain active after reaching the 99-participant recruitment goal.

Conclusions:

  • My Voice Library provides high-quality, ethically sourced data for personalized speech-recognition research.
  • The gamified and modular design ensures sustained participant engagement and diverse data collection.
  • This resource will significantly enhance the development of effective communication tools for children with dysarthria.