{"id":"https://openalex.org/W204364960","doi":"https://doi.org/10.21437/interspeech.2005-65","title":"Spontaneous speech consolidation for spoken language applications","display_name":"Spontaneous speech consolidation for spoken language applications","publication_year":2005,"publication_date":"2005-09-04","ids":{"openalex":"https://openalex.org/W204364960","doi":"https://doi.org/10.21437/interspeech.2005-65","mag":"204364960"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2005-65","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2005-65","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2005","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/A5001601327","display_name":"Chiori Hori","orcid":"https://orcid.org/0000-0002-4201-7578"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chiori Hori","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110453805","display_name":"Alex Waibel","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex Waibel","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001601327"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":1.3163,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83015735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"617","last_page":"620"},"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":0.9991999864578247,"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/T12031","display_name":"Speech and dialogue systems","score":0.9983999729156494,"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":0.8649942874908447},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.7804908156394958},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7359493970870972},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.6300882697105408},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6190757751464844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6018625497817993},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.5252049565315247},{"id":"https://openalex.org/keywords/consolidation","display_name":"Consolidation (business)","score":0.49983739852905273},{"id":"https://openalex.org/keywords/speech-translation","display_name":"Speech translation","score":0.4387354254722595}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8649942874908447},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7804908156394958},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7359493970870972},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.6300882697105408},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6190757751464844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6018625497817993},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.5252049565315247},{"id":"https://openalex.org/C2776014549","wikidata":"https://www.wikidata.org/wiki/Q3050847","display_name":"Consolidation (business)","level":2,"score":0.49983739852905273},{"id":"https://openalex.org/C2780366754","wikidata":"https://www.wikidata.org/wiki/Q7494857","display_name":"Speech translation","level":3,"score":0.4387354254722595},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2005-65","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2005-65","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2005","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W55333121","https://openalex.org/W2057713231","https://openalex.org/W2098152775","https://openalex.org/W2125343999","https://openalex.org/W2594610113"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W4284703357","https://openalex.org/W2404510748","https://openalex.org/W3089218859","https://openalex.org/W2003020325","https://openalex.org/W2164499211"],"abstract_inverted_index":{"This":[0],"paper":[1,112],"describes":[2],"the":[3,10,39,62,80,84,96,103,107,136],"work":[4],"done":[5],"as":[6,133],"a":[7,114,152],"part":[8],"of":[9,48,64,72,106],"International":[11],"Workshop":[12],"on":[13,24,35,162],"Speech":[14],"Summarization":[15],"for":[16],"Information":[17],"Extraction":[18],"and":[19,32,66,99,126,129],"Machine":[20],"Translation":[21],"(IWSpS)":[22],",":[23],"spoken":[25,73,108],"language":[26,74,109],"processing":[27,75],"including":[28],"summarization,":[29],"machine":[30],"translation":[31],"question":[33],"answering":[34],"lecture":[36,49],"speech":[37,50,54],"in":[38],"Translanguage":[40],"English":[41],"Database":[42],"(TED)":[43],"corpus":[44],".":[45,156],"The":[46,69,118],"hypotheses":[47],"obtained":[51],"by":[52,79,83,123,144,149],"automatic":[53],"recognition":[55,67],"(ASR)":[56],"system":[57],"are":[58],"ill-formed":[59],"due":[60],"to":[61,89,102,134],"spontaneity":[63],"speakers":[65],"errors.":[68],"overall":[70],"performance":[71,105,141],"components":[76],"is":[77,142],"affected":[78],"errors":[81],"introduced":[82],"ASR":[85,163],"system.":[86],"In":[87],"order":[88],"get":[90],"more":[91],"reliable":[92],"phrases":[93],"which":[94],"maintain":[95,135],"original":[97,137],"meaning":[98],"contribute":[100],"positively":[101],"total":[104],"system,":[110],"this":[111],"proposes":[113],"consolidation":[115,119,140,148],"fram":[116],"ework.":[117],"approach":[120,158],"extracts":[121],"words":[122,131],"excluding":[124],"redundant":[125],"irrelevant":[127],"information":[128],"concatenating":[130],"so":[132],"meaning.":[138],"Automatic":[139],"evaluated":[143],"comparing":[145],"with":[146,165],"manual":[147],"humans":[150],"using":[151],"word":[153,167],"accuracy":[154,161],"metric":[155],"Our":[157],"gives":[159],"58%":[160],"output":[164],"70%":[166],"accuracy.":[168]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
