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Carnegie Mellon’s Quality of Life Technology Center (QoLT) entered into a collaboration with the University of Pittsburgh and TravellingWave, a deveoper of next-generation multimodal input technology, to develop advanced speech solutions for products – including robotic mobility assistants – for the elderly and disabled.

The CMU and U. of Pittsburgh teams will collaborate with TravellingWave under a grant-award provided by the National Science Foundation (NSF) under the Small Business Investigation Research (SBIR) supplemental awards program. 

TravellingWave’s VoicePredict™ product – which combines voice recognition with text prediction- enables users to switch between keyboard input and speech input with near-100% task-completion accuracy. 

Dr. Daniel P. Siewiorek, director of the CMU Human-Computer Interaction Institute who heads up the QoLT research in Human-System Interaction, will direct the work on the project, which marks the first commercial integration for TravellingWave’s VoicePredict.  VoicePredict will release a beta version of its product in the coming months.