{"id":164095,"date":"2012-11-01T00:00:00","date_gmt":"2012-11-01T00:00:00","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/msr-research-item\/pay-attention-please-attention-at-the-telluride-neuromorphic-cognition-workshop\/"},"modified":"2018-10-16T20:06:51","modified_gmt":"2018-10-17T03:06:51","slug":"pay-attention-please-attention-at-the-telluride-neuromorphic-cognition-workshop","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/pay-attention-please-attention-at-the-telluride-neuromorphic-cognition-workshop\/","title":{"rendered":"Pay Attention, Please: Attention at the Telluride Neuromorphic Cognition Workshop"},"content":{"rendered":"
\n

The role of attention is growing in importance as speech recognition moves into more challenging environments. Attention is not a factor when we speak into a close-talking microphone with a push-to-talk button. But the acoustic world in which we live is not so simple; multiple sources add together in a confusing mixture of sound, making it difficult to analyze any one source. In such settings, attention serves two important purposes: 1) It helps us to focus our computational resources on the problem at hand, and 2) it helps us to piece together portions of our environment to solve a single task. Understanding how attention works may be the critical advance that allows us to build speech-recognition machines that cope with complex, everyday settings robustly and flexibly, just as a human listener does.<\/p>\n

I’ve had the privilege to help lead three recent projects on attention at the Neuromorphic Cognition Workshop [2]. These projects have studied different parts of attention in a short, focused, working workshop. During the summer of 2011 we studied and built a complete cocktail-party system, with both top-down and bottom-up signals. In the summer of 2012 we used EEG signals to “listen” to a subject’s brain and decode which of two speech signals he was attending. I will describe the Neuromorphic Engineering Workshop, and then the two latest attention projects.<\/p>\n<\/div>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

The role of attention is growing in importance as speech recognition moves into more challenging environments. Attention is not a factor when we speak into a close-talking microphone with a push-to-talk button. But the acoustic world in which we live is not so simple; multiple sources add together in a confusing mixture of sound, making […]<\/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":"mslaney","user_id":"33020"}],"msr_publishername":"IEEE","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"IEEE SLTC Newsletter","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"IEEE SLTC 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