9 research outputs found
Effect Of Daily, High-intensity Voluntary Hyperpnea On Maximal Expired Airflow And Maximal Voluntary Ventilation
No full textNo effect of elevated operating lung volumes on airway function during variable workrate exercise in asthmatic humans
No full textImproving Voice Recognition Prompts for Users in Various Application Environments (Semester Unknown) IPRO 316: ImprovingVoiceRecognitionPromptsIPRO316PosterF10
No full textUsers 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.Deliverable
Improving Voice Recognition Prompts for Users in Various Application Environments (Semester Unknown) IPRO 316: ImprovingVoiceRecognitionPromptsIPRO316ProjectPlanF10
No full textUsers 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.Deliverable
Improving Voice Recognition Prompts for Users in Various Application Environments (Semester Unknown) IPRO 316: ImprovingVoiceRecognitionPromptsIPRO316FinalPresentationF10
No full textUsers 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.Deliverable
Improving Voice Recognition Prompts for Users in Various Application Environments (Semester Unknown) IPRO 316
No full textUsers 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.Deliverable
Improving Voice Recognition Prompts for Users in Various Application Environments (Semester Unknown) IPRO 316: ImprovingVoiceRecognitionPromptsIPRO316FinalReportF10
No full textUsers 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.Deliverable
