Improving Voice Recognition Prompts for Users in Various Application Environments (Semester Unknown) IPRO 316: ImprovingVoiceRecognitionPromptsIPRO316FinalReportF10 Bossemeyer, Andrew Morrison, Ruth Gopal, Shashank Klansky, Gabriel Peterson, Naomi Webster, Alexander Winston, Nithin Echavarria, Vincent Milonzi, Robert Bossemeyer, Andrew Peterson, Naomi improving voice recognition prompts hyperarticulation rate of speech inflection simulate speech recognition test hyperarticulation graph Users of speech recognition technology often hyperarticulate (i.e., exaggerate) their speech in response to recognition failures and subsequent requests to repeat (e.g., \I'm sorry, I didn't understand, please repeat the input."). Hyperarticula- tion usually leads to further recognition failure. The goal of the current project is to develop a protocol for testing di erent talker characteristics of voice prompts in speech recognizers with an aim towards minimizing hyperarticulated speech from users. This IPRO is equally suited to students interested in the more tech- nical aspects of acoustic phonetics and voice recognition as well as the cognitive aspects of predicting user behavior in technology-mediated environments. Deliverables 2010 2010-12 Project deliverable application/pdf islandora:12047 http://hdl.handle.net/10560/1407 IPRO / Interprofessional Projects Program Illinois Institute of Technology en In Copyright http://rightsstatements.org/page/InC/1.0/ Open Access