An AAC application using speaking partner speech recognition to automatically produce contextually relevant
Bruce Wisenburn1, D Jeffery Higginbotham
1Department of Speech Pathology and Audiology, State University of New York, Fredonia, NY 14063, USA. bruce.wisenburn@fredonia.edu
Abstract:
The purpose of this study was to evaluate the efficacy of a computer program, Converser, which uses the speech recognition of the speaking partner to predict contextually appropriate utterances and to store relevant noun phrases. The dyads (which consisted of a program user and a speaking partner) tested Converser in two communication tasks: a conversation and an interview. Two conditions were applied: A simple communication aid with an alphabet layout without Converser (alpha-only condition), and an identical aid with Converser (alpha-converser condition). Objective measurements were made concerning the program user's rate and Converser usage. The results showed that the alpha-converser condition generated a faster communication rate than the alpha-only condition. Also, the program users utilized the stored noun phrases in their productions more than the full utterances. Converser allowed for periodic instances of a fast rate of speech, which appeared to have a positive impact on communication.
Related Concept Videos
Impression Management Techniques IV: Altercasting
Air-entraining Agents
SBAR II: Application of SBAR
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...
Automatic Processing and Automatic Social Behavior

