{"id":"https://openalex.org/W2290469434","doi":"https://doi.org/10.1109/asru.2015.7404824","title":"Boosted acoustic model learning and hypotheses rescoring on the CHiME-3 task","display_name":"Boosted acoustic model learning and hypotheses rescoring on the CHiME-3 task","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2290469434","doi":"https://doi.org/10.1109/asru.2015.7404824","mag":"2290469434"},"language":"en","primary_location":{"id":"doi:10.1109/asru.2015.7404824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2015.7404824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)","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/A5091420288","display_name":"Shahab Jalalvand","orcid":null},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]},{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Shahab Jalalvand","raw_affiliation_strings":["SHINE research unit, Fondazione Bruno Kessler (FBK), Trento, Italy","School of International Doctorate University of Trento, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SHINE research unit, Fondazione Bruno Kessler (FBK), Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]},{"raw_affiliation_string":"School of International Doctorate University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041102462","display_name":"Daniele Falavigna","orcid":"https://orcid.org/0000-0002-4844-5071"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniele Falavigna","raw_affiliation_strings":["SHINE research unit, Fondazione Bruno Kessler (FBK), Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SHINE research unit, Fondazione Bruno Kessler (FBK), Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037923499","display_name":"Marco Matassoni","orcid":null},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Matassoni","raw_affiliation_strings":["SHINE research unit, Fondazione Bruno Kessler (FBK), Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SHINE research unit, Fondazione Bruno Kessler (FBK), Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032052125","display_name":"Piergiorgio Svaizer","orcid":"https://orcid.org/0000-0003-3137-3961"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Piergiorgio Svaizer","raw_affiliation_strings":["SHINE research unit, Fondazione Bruno Kessler (FBK), Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SHINE research unit, Fondazione Bruno Kessler (FBK), Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025736898","display_name":"Maurizio Omologo","orcid":"https://orcid.org/0000-0003-0879-0548"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maurizio Omologo","raw_affiliation_strings":["SHINE research unit, Fondazione Bruno Kessler (FBK), Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SHINE research unit, Fondazione Bruno Kessler (FBK), Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.852,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.88242471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"409","last_page":"415"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":1.0,"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":1.0,"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":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9991999864578247,"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/computer-science","display_name":"Computer science","score":0.8259412050247192},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.7606779336929321},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6313707828521729},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6214457750320435},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5814172625541687},{"id":"https://openalex.org/keywords/transcription","display_name":"Transcription (linguistics)","score":0.5187059044837952},{"id":"https://openalex.org/keywords/acoustic-model","display_name":"Acoustic model","score":0.5044835805892944},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.482654869556427},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4541378617286682},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.43286648392677307},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43231523036956787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3865024447441101},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3745889365673065},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.25616252422332764},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06724178791046143}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8259412050247192},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.7606779336929321},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6313707828521729},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6214457750320435},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5814172625541687},{"id":"https://openalex.org/C179926584","wikidata":"https://www.wikidata.org/wiki/Q207714","display_name":"Transcription (linguistics)","level":2,"score":0.5187059044837952},{"id":"https://openalex.org/C155635449","wikidata":"https://www.wikidata.org/wiki/Q4674699","display_name":"Acoustic model","level":3,"score":0.5044835805892944},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.482654869556427},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4541378617286682},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.43286648392677307},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43231523036956787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3865024447441101},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3745889365673065},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.25616252422332764},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06724178791046143},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asru.2015.7404824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2015.7404824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W16967297","https://openalex.org/W653761051","https://openalex.org/W1509088290","https://openalex.org/W1524333225","https://openalex.org/W1904457459","https://openalex.org/W1934041838","https://openalex.org/W1989549063","https://openalex.org/W2002342963","https://openalex.org/W2063224314","https://openalex.org/W2087006792","https://openalex.org/W2091981305","https://openalex.org/W2103790002","https://openalex.org/W2131342762","https://openalex.org/W2147768505","https://openalex.org/W2160306971","https://openalex.org/W2160815625","https://openalex.org/W2162042984","https://openalex.org/W2171928131","https://openalex.org/W2184045248","https://openalex.org/W2185726469","https://openalex.org/W2250799045","https://openalex.org/W2251880053","https://openalex.org/W2289394825","https://openalex.org/W2295119550","https://openalex.org/W2474824677","https://openalex.org/W4249052411","https://openalex.org/W6630309668","https://openalex.org/W6631362777","https://openalex.org/W6679429981","https://openalex.org/W6684010798","https://openalex.org/W6691752234","https://openalex.org/W6697090674","https://openalex.org/W6720877245"],"related_works":["https://openalex.org/W2118730790","https://openalex.org/W2126322296","https://openalex.org/W2037564206","https://openalex.org/W7946549","https://openalex.org/W2163537793","https://openalex.org/W4386794561","https://openalex.org/W2916997151","https://openalex.org/W2781555308","https://openalex.org/W2786927338","https://openalex.org/W3021690593"],"abstract_inverted_index":{"Speech":[0],"recognition":[1],"in":[2,81],"a":[3,78,103],"realistic":[4],"noisy":[5],"environment":[6],"using":[7,89],"multiple":[8],"microphones":[9],"is":[10,87],"the":[11,15,20,32,45,54,62,82,108,113,119,125],"focal":[12],"point":[13],"of":[14,31,57,93],"third":[16],"CHiME":[17],"challenge.":[18],"Over":[19],"baseline":[21],"ASR":[22],"system":[23],"provided":[24],"for":[25,35,65],"this":[26,49],"challenge,":[27],"we":[28,51,70,110],"apply":[29,71],"state":[30],"art":[33],"algorithms":[34],"boosting":[36],"acoustic":[37,63],"model":[38,64,74],"learning":[39],"and":[40,68,95,131],"hypothesis":[41],"rescoring":[42,75,86],"to":[43,60,76],"improve":[44],"final":[46],"output.":[47],"To":[48],"aim,":[50],"first":[52],"use":[53],"automatic":[55],"transcription":[56],"each":[58],"channel":[59,67,121],"re-train":[61],"that":[66,112],"then":[69],"linear":[72],"language":[73],"find":[77],"better":[79],"solution":[80],"n-best":[83],"list.":[84],"LM":[85,99],"performed":[88],"an":[90],"efficient":[91],"set":[92],"N-gram":[94],"Recurrent":[96],"Neural":[97],"Network":[98],"(RNNLM)":[100],"trained":[101],"on":[102],"wisely-selected":[104],"text":[105],"set.":[106],"In":[107],"experiments,":[109],"show":[111],"proposed":[114],"approach":[115],"improves":[116],"not":[117],"only":[118],"individual":[120],"transcription,":[122],"but":[123],"also":[124],"enhanced":[126],"channels":[127],"produced":[128],"by":[129],"MVDR":[130],"delay-and-sum":[132],"beamforming.":[133]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}