Automated Transcription

  • (L-R) Dr. Abhijeet Sangwan, Dr. John Hansen, Jenny McGlothlin and Jana Mueller
  • (L-R) Dr. Abhijeet Sangwan, Dr. John Hansen, Dr. Thomas Campbell, Jana Mueller and Jenny McGlothlin
  • (L-R) Dr. John Hansen and Dr. Abhijeet Sangwan

Project Overview

How can we make speech screening more accessible to parents and healthcare professionals who work with children? This question spurred the development of the Automated Transcription Project, which uses technology to gather information about children’s speech production abilities in an easy-to-use format.

Research for this project focuses on 1) building a computer system that can transcribe speech sounds when presented in single words, 2) determining if automated, computerized transcription of children’s speech can reach the accuracy levels of manual transcription and 3) developing this method to support or replace time-consuming hand transcription, the only option available to clinicians today.

For the future, this research will help in developing an automated application for a hand-held device, such as an iPhone, for use in speech screening. Parents and healthcare professionals could access this tool to facilitate early identification of possible speech sound production problems and to initiate referral for full evaluation by a speech-language pathologist.

Stage of Development

The Automated Transcription team has developed a prototype for collecting speech data in the field using a hand-held device. We are currently testing the reliability of the device for collecting speech production data in the field. This project is funded through the Callier Center Small Grant Project.

Development Team

The Automated Transcription project is a collaboration among the School of Behavioral and Brain Sciences, the Callier Center for Communication Disorders and the Erik Jonsson School of Engineering and Computer Science. The team of researchers includes:

Thomas Campbell, PhD [email protected]
The University of Texas at Dallas, Communication Sciences and Disorders

John Hansen, PhD [email protected]
The University of Texas at Dallas, Erik Jonsson School of Engineering and Computer Science

Abhijeet Sangwan, PhD [email protected]
The University of Texas at Dallas, Erik Jonsson School of Engineering and Computer Science

Jenny McGlothlin, MS [email protected]
The University of Texas at Dallas, Communication Sciences and Disorders