{"id":154803,"date":"2005-10-01T00:00:00","date_gmt":"2005-10-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/the-vocal-joystick-a-voice-based-human-computer-interface-for-individuals-with-motor-impairments\/"},"modified":"2018-10-16T21:36:41","modified_gmt":"2018-10-17T04:36:41","slug":"the-vocal-joystick-a-voice-based-human-computer-interface-for-individuals-with-motor-impairments","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/the-vocal-joystick-a-voice-based-human-computer-interface-for-individuals-with-motor-impairments\/","title":{"rendered":"The Vocal Joystick: A Voice-Based Human-Computer Interface for Individuals with Motor Impairments"},"content":{"rendered":"<p>We present a novel voice-based humancomputer<br \/>\ninterface designed to enable individuals<br \/>\nwith motor impairments to use<br \/>\nvocal parameters for continuous control<br \/>\ntasks. Since discrete spoken commands<br \/>\nare ill-suited to such tasks, our interface<br \/>\nexploits a large set of continuous acousticphonetic<br \/>\nparameters like pitch, loudness,<br \/>\nvowel quality, etc. Their selection is optimized<br \/>\nwith respect to automatic recognizability,<br \/>\ncommunication bandwidth, learnability,<br \/>\nsuitability, and ease of use. Parameters<br \/>\nare extracted in real time, transformed<br \/>\nvia adaptation and acceleration,<br \/>\nand converted into continuous control signals.<br \/>\nThis paper describes the basic engine,<br \/>\nprototype applications (in particular,<br \/>\nvoice-based web browsing and a controlled<br \/>\ntrajectory-following task), and initial<br \/>\nuser studies confirming the feasibility<br \/>\nof this technology.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present a novel voice-based humancomputer interface designed to enable individuals with motor impairments to use vocal parameters for continuous control tasks. Since discrete spoken commands are ill-suited to such tasks, our interface exploits a large set of continuous acousticphonetic parameters like pitch, loudness, vowel quality, etc. Their selection is optimized with respect to automatic [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"user_nicename","value":"xiaol"}],"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"Proceedings of the conference on Human Language Technology","msr_chapter":"","msr_edition":"Proceedings of the conference on Human Language 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