{"id":"https://openalex.org/W2346488894","doi":"https://doi.org/10.1109/icassp.2016.7472798","title":"Selection and combination of hypotheses for dialectal speech recognition","display_name":"Selection and combination of hypotheses for dialectal speech recognition","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2346488894","doi":"https://doi.org/10.1109/icassp.2016.7472798","mag":"2346488894"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472798","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5109207771","display_name":"V\u00edctor Soto","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Victor Soto","raw_affiliation_strings":["Computer Science Department, Columbia University, New York"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Columbia University, New York","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005881531","display_name":"Olivier Siohan","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Olivier Siohan","raw_affiliation_strings":["Google Inc., Languages Modeling Group, New York"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Inc., Languages Modeling Group, New York","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111926790","display_name":"Mohamed Elfeky","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Elfeky","raw_affiliation_strings":["Google Inc., Languages Modeling Group, New York"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Inc., Languages Modeling Group, New York","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103874391","display_name":"Pedro J. Moreno","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pedro Moreno","raw_affiliation_strings":["Google Inc., Languages Modeling Group, New York"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Inc., Languages Modeling Group, New York","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"5845","last_page":"5849"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987999796867371,"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/T11309","display_name":"Music and Audio Processing","score":0.9965999722480774,"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/selection","display_name":"Selection (genetic algorithm)","score":0.739429771900177},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7107996940612793},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6589215397834778},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45605677366256714},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4519094228744507}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.739429771900177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7107996940612793},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6589215397834778},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45605677366256714},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4519094228744507}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7472798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472798","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W158407117","https://openalex.org/W173561343","https://openalex.org/W1482666487","https://openalex.org/W1657486103","https://openalex.org/W1904457459","https://openalex.org/W1951971685","https://openalex.org/W1967165764","https://openalex.org/W1990387894","https://openalex.org/W1991530195","https://openalex.org/W2017517591","https://openalex.org/W2033256038","https://openalex.org/W2046932483","https://openalex.org/W2058641082","https://openalex.org/W2062227835","https://openalex.org/W2097978681","https://openalex.org/W2099154261","https://openalex.org/W2100099270","https://openalex.org/W2136376159","https://openalex.org/W2155770957","https://openalex.org/W2168733445","https://openalex.org/W2548040684","https://openalex.org/W2594610113","https://openalex.org/W2893449927","https://openalex.org/W4250135370","https://openalex.org/W6606465599","https://openalex.org/W6607114211","https://openalex.org/W6674334065","https://openalex.org/W6729354880"],"related_works":["https://openalex.org/W2151447942","https://openalex.org/W2611614995","https://openalex.org/W2900389025","https://openalex.org/W2368651715","https://openalex.org/W2789919619","https://openalex.org/W3107474891","https://openalex.org/W1552159754","https://openalex.org/W2148757832","https://openalex.org/W2293457016","https://openalex.org/W1870336386"],"abstract_inverted_index":{"While":[0],"research":[1],"has":[2],"often":[3],"shown":[4],"that":[5,27],"building":[6],"dialect-specific":[7,28,48],"Automatic":[8],"Speech":[9,82],"Recognizers":[10],"is":[11],"the":[12,21,34,47,61,81,105,115,120,128,135],"optimal":[13],"approach":[14,76],"to":[15,57,124],"dealing":[16],"with":[17,86],"dialectal":[18,40,69],"variations":[19],"of":[20,68],"same":[22],"language,":[23],"we":[24,53],"have":[25],"observed":[26],"recognizers":[29],"do":[30],"not":[31],"always":[32],"output":[33,84],"best":[35,62],"recognitions.":[36],"Often":[37],"enough,":[38],"another":[39],"recognizer":[41],"outputs":[42],"a":[43,66,73],"better":[44],"recognition":[45],"than":[46],"one.":[49],"In":[50],"this":[51],"paper,":[52],"present":[54],"two":[55],"methods":[56],"select":[58],"and":[59,77,89,100,131],"combine":[60],"decoded":[63],"hypothesis":[64,116],"from":[65,80,104],"pool":[67],"recognizers.":[70],"We":[71],"follow":[72],"Machine":[74],"Learning":[75],"extract":[78],"features":[79],"Recognition":[83],"along":[85],"Word":[87],"Embeddings":[88],"use":[90],"Shallow":[91],"Neural":[92],"Networks":[93],"for":[94,114,134],"classification.":[95],"Our":[96],"experiments":[97],"using":[98],"Dictation":[99],"Voice":[101],"Search":[102],"data":[103],"main":[106],"four":[107],"Arabic":[108],"dialects":[109],"show":[110],"good":[111],"WER":[112,121],"improvements":[113],"selection":[117],"scheme,":[118],"reducing":[119],"by":[122],"2.1":[123],"12.1%":[125],"depending":[126],"on":[127],"test":[129],"set,":[130],"promising":[132],"results":[133],"hypotheses":[136],"combination":[137],"scheme.":[138]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}