{"id":"https://openalex.org/W2399325716","doi":"https://doi.org/10.21437/interspeech.2008-370","title":"Discrimininative training of narrow band - wide band adapted systems for meeting recognition","display_name":"Discrimininative training of narrow band - wide band adapted systems for meeting recognition","publication_year":2008,"publication_date":"2008-09-22","ids":{"openalex":"https://openalex.org/W2399325716","doi":"https://doi.org/10.21437/interspeech.2008-370","mag":"2399325716"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2008-370","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2008-370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2008","raw_type":"proceedings-article"},"type":"conference-paper","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/A5065253688","display_name":"Martin Karafi\u00e1t","orcid":"https://orcid.org/0000-0001-6474-8366"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martin Karafi\u00e1t","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042273299","display_name":"Luk\u00e1\u0161 Burget","orcid":"https://orcid.org/0000-0002-4951-5908"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luk\u00e1\u0161 Burget","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030528300","display_name":"Thomas Hain","orcid":"https://orcid.org/0000-0003-0939-3464"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Hain","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5045539248","display_name":"Ja\u0148 \u010cernock\u00fd","orcid":"https://orcid.org/0000-0002-8800-0210"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jan \u010cernock\u00fd","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25612335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1217","last_page":"1220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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/T12031","display_name":"Speech and dialogue systems","score":0.9970999956130981,"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/T10860","display_name":"Speech and Audio Processing","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/discriminative-model","display_name":"Discriminative model","score":0.7791344523429871},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7720781564712524},{"id":"https://openalex.org/keywords/nist","display_name":"NIST","score":0.7714625597000122},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7408761978149414},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.678344190120697},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6418098211288452},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4832916557788849},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.48246175050735474},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.47093096375465393},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.46144384145736694},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.45176345109939575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4399823248386383},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39866316318511963},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15676093101501465}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7791344523429871},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7720781564712524},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.7714625597000122},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7408761978149414},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.678344190120697},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6418098211288452},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4832916557788849},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.48246175050735474},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.47093096375465393},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.46144384145736694},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.45176345109939575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4399823248386383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39866316318511963},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15676093101501465},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2008-370","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2008-370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2008","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W127575240","https://openalex.org/W155350440","https://openalex.org/W1599512239","https://openalex.org/W2002342963","https://openalex.org/W2027499299","https://openalex.org/W2100969003","https://openalex.org/W2106554350","https://openalex.org/W2121147010","https://openalex.org/W2134950286","https://openalex.org/W2172218156"],"related_works":["https://openalex.org/W2158491338","https://openalex.org/W2162582511","https://openalex.org/W4245698648","https://openalex.org/W2405257913","https://openalex.org/W3133710586","https://openalex.org/W2125964738","https://openalex.org/W2098529290","https://openalex.org/W2026402306","https://openalex.org/W3172695526","https://openalex.org/W2146197305"],"abstract_inverted_index":{"The":[0,95],"amount":[1],"of":[2,12,19,23,76,92,113],"training":[3],"data":[4,25,60],"has":[5],"a":[6,52,106],"crucial":[7],"effect":[8],"on":[9,74,99],"the":[10,20,62,90,100],"accuracy":[11],"HMM":[13],"based":[14],"meeting":[15,59,103,117],"recognition":[16],"systems.":[17],"One":[18],"largest":[21],"collections":[22],"speech":[24,29,35],"is":[26,41,84],"conversational":[27],"telephone":[28],"which":[30],"was":[31,119],"found":[32],"to":[33,56],"match":[34],"in":[36,109],"meetings":[37],"well.":[38],"However":[39],"it":[40],"naturally":[42],"recorded":[43],"with":[44],"limited":[45],"bandwidth.":[46],"In":[47,69],"previous":[48],"work":[49],"we":[50,72,88],"presented":[51],"scheme":[53],"that":[54],"allows":[55],"transform":[57],"wide-band":[58],"into":[61,79],"same":[63],"space":[64],"for":[65],"improved":[66],"model":[67],"training.":[68],"this":[70,80,93],"paper":[71],"focused":[73],"integration":[75,83],"discriminative":[77],"adaptation":[78],"scheme.":[81],"This":[82],"not":[85],"straightforward":[86],"and":[87],"present":[89],"complexity":[91],"process.":[94],"models":[96],"are":[97],"tested":[98],"NIST":[101],"RT\u201905":[102],"evaluation":[104],"where":[105],"relative":[107],"reduction":[108],"word":[110],"error":[111],"rate":[112],"5.6%":[114],"against":[115],"non-adapted":[116],"system":[118],"achieved.":[120]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
