{"id":"https://openalex.org/W202301840","doi":"https://doi.org/10.21437/eurospeech.2001-508","title":"Deriving document structure from prosodic cues","display_name":"Deriving document structure from prosodic cues","publication_year":2001,"publication_date":"2001-09-03","ids":{"openalex":"https://openalex.org/W202301840","doi":"https://doi.org/10.21437/eurospeech.2001-508","mag":"202301840"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.2001-508","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2001-508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th European Conference on Speech Communication and Technology (Eurospeech 2001)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056055861","display_name":"Martin Haase","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Martin Haase","raw_affiliation_strings":["University of stuttgart"],"affiliations":[{"raw_affiliation_string":"University of stuttgart","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005835010","display_name":"Werner Kriechbaum","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Werner Kriechbaum","raw_affiliation_strings":["University of stuttgart"],"affiliations":[{"raw_affiliation_string":"University of stuttgart","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070367529","display_name":"Gregor M\u00f6hler","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregor M\u00f6hler","raw_affiliation_strings":["IBM, ,"],"affiliations":[{"raw_affiliation_string":"IBM, ,","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075906510","display_name":"Gerhard Stenzel","orcid":"https://orcid.org/0009-0009-0280-4911"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gerhard Stenzel","raw_affiliation_strings":["IBM, ,"],"affiliations":[{"raw_affiliation_string":"IBM, ,","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056055861"],"corresponding_institution_ids":["https://openalex.org/I100066346"],"apc_list":null,"apc_paid":null,"fwci":2.1229,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.88217173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2157","last_page":"2160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8026319742202759},{"id":"https://openalex.org/keywords/prosody","display_name":"Prosody","score":0.7471076250076294},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.6637487411499023},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6167191863059998},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6145902872085571},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5828518867492676},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5721586346626282},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5439962148666382},{"id":"https://openalex.org/keywords/text-segmentation","display_name":"Text segmentation","score":0.49979567527770996},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.46341532468795776},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.44111454486846924},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12410461902618408}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8026319742202759},{"id":"https://openalex.org/C542774811","wikidata":"https://www.wikidata.org/wiki/Q10880526","display_name":"Prosody","level":2,"score":0.7471076250076294},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.6637487411499023},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6167191863059998},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6145902872085571},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5828518867492676},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5721586346626282},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5439962148666382},{"id":"https://openalex.org/C98501671","wikidata":"https://www.wikidata.org/wiki/Q1948408","display_name":"Text segmentation","level":3,"score":0.49979567527770996},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.46341532468795776},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.44111454486846924},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12410461902618408},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/eurospeech.2001-508","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2001-508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th European Conference on Speech Communication and Technology (Eurospeech 2001)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1558115493","https://openalex.org/W1574901103","https://openalex.org/W1576360156","https://openalex.org/W1582784770","https://openalex.org/W1586171079","https://openalex.org/W1608754780","https://openalex.org/W1756517411","https://openalex.org/W2117812871","https://openalex.org/W2124449078","https://openalex.org/W2426479676","https://openalex.org/W2501982834"],"related_works":["https://openalex.org/W2529301793","https://openalex.org/W2384121599","https://openalex.org/W2038083449","https://openalex.org/W3177678247","https://openalex.org/W1999617572","https://openalex.org/W2944572343","https://openalex.org/W2333799855","https://openalex.org/W258725851","https://openalex.org/W1998701884","https://openalex.org/W2095908250"],"abstract_inverted_index":{"This":[0],"study":[1],"presents":[2],"an":[3],"approach":[4],"for":[5,61,77],"prosody-driven":[6],"segmentation":[7],"of":[8,51,57,88,93],"speech":[9,28],"data.":[10],"The":[11,55],"model":[12],"is":[13,30],"based":[14],"solely":[15],"on":[16,68],"F":[17],"contours":[18],"and":[19],"RMS":[20],"envelopes.":[21],"Phoneme":[22],"or":[23],"word":[24],"information":[25,43,50],"from":[26,34],"a":[27,86,91],"recognizer":[29],"unneccesary.":[31],"Using":[32],"data":[33],"German":[35],"broadcast":[36],"news,":[37],"we":[38],"show":[39],"how":[40],"this":[41],"prosodic":[42],"can":[44],"be":[45],"exploited":[46],"to":[47],"retrieve":[48],"structural":[49],"the":[52,58,78],"spoken":[53],"text.":[54],"suitability":[56],"CART-like":[59],"algorithm":[60],"utterance":[62],"boundary":[63],"prediction":[64],"has":[65],"been":[66],"evaluated":[67],"7":[69],"five-minutes-news-reports,":[70],"using":[71],"28":[72],"reports":[73],"as":[74],"training":[75],"material":[76],"classification":[79],"tree.":[80],"Sentence":[81],"boundaries":[82],"were":[83],"predicted":[84],"with":[85],"precision":[87],"93%,":[89],"at":[90],"recall":[92],"88%.":[94]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}