{"pk":26386,"title":"A Framework for Evaluating Speech Representations","subtitle":null,"abstract":"Listeners track distributions of speech sounds along percep-tual dimensions. We introduce a method for evaluating hy-potheses about what those dimensions are, using a cognitivemodel whose prior distribution is estimated directly from speechrecordings. We use this method to evaluate two speaker nor-malization algorithms against human data. Simulations showthat representations that are normalized across speakers predicthuman discrimination data better than unnormalized representa-tions, consistent with previous research. Results further revealdifferences across normalization methods in how well eachpredicts human data. This work provides a framework forevaluating hypothesized representations of speech and lays thegroundwork for testing models of speech perception on naturalspeech recordings from ecologically valid settings.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Speech perception"},{"word":"speaker normalization"},{"word":"Bayesian modeling"},{"word":"approximate inference"}],"section":"Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/5m3610p8","frozenauthors":[{"first_name":"Caitlin","middle_name":"","last_name":"Richter","name_suffix":"","institution":"University of Pennsylvania","department":""},{"first_name":"Naomi","middle_name":"","last_name":"Feldman","name_suffix":"","institution":"University of Maryland","department":""},{"first_name":"Harini","middle_name":"","last_name":"Salgado","name_suffix":"","institution":"Pomona College","department":""},{"first_name":"Aren","middle_name":"","last_name":"Jansen","name_suffix":"","institution":"Johns Hopkins University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2016-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/26386/galley/16022/download/"}]}