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{ "pk": 25555, "title": "Analyzing the Predictability of Lexeme-specific Prosodic Features as a Cue to\nSentence Prominence", "subtitle": null, "abstract": "This study investigates the relationship between sentence\nprominence and the predictability of word-specific statistical\ndescriptors of prosody. We extend from an earlier wordinvariant\nmodel by studying a model that marks words as\nprominent if the acoustic prosodic features differ from their\nexpected values during the lexemes. To test the approach, the\nmost common acoustic features associated with the perception\nof prominence are extracted and several lexeme-specific\nstatistical measures are computed for each feature.\nSimulations are conducted on a corpus of continuous English\nspeech and the algorithm output is compared to manually\nassigned prominence labels. The results show that the deviant\nprosodic descriptors of the words correlate with the\nperception of prominence. However, this effect is much\nsmaller than that obtained by modeling the prosodic\npredictability at the utterance level, suggesting that contextindependent\nlexeme-specific models are unable to capture\nrelevant aspects of sentence prominence", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "Sentence prominence; prosody; statistical\nlearning; predictability; attention" } ], "section": "Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/96k818pk", "frozenauthors": [ { "first_name": "Sogoklis", "middle_name": "", "last_name": "Kakouros", "name_suffix": "", "institution": "Aalto University", "department": "" }, { "first_name": "Okko", "middle_name": "", "last_name": "Rasanen", "name_suffix": "", "institution": "Aalto University", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2015-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/25555/galley/15179/download/" } ] }