{"id":"https://openalex.org/W2972932546","doi":"https://doi.org/10.21437/interspeech.2019-2127","title":"Full-Sentence Correlation: A Method to Handle Unpredictable Noise for Robust Speech Recognition","display_name":"Full-Sentence Correlation: A Method to Handle Unpredictable Noise for Robust Speech Recognition","publication_year":2019,"publication_date":"2019-09-13","ids":{"openalex":"https://openalex.org/W2972932546","doi":"https://doi.org/10.21437/interspeech.2019-2127","mag":"2972932546"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2019-2127","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2019-2127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2019","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pureadmin.qub.ac.uk/ws/files/185362236/2127_paper_final.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101838286","display_name":"Ji Ming","orcid":"https://orcid.org/0000-0001-6887-2591"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ji Ming","raw_affiliation_strings":["Queen's University Belfast, Belfast BT7 1NN, U.K"],"affiliations":[{"raw_affiliation_string":"Queen's University Belfast, Belfast BT7 1NN, U.K","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000739686","display_name":"Danny Crookes","orcid":"https://orcid.org/0000-0002-3533-6095"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Danny Crookes","raw_affiliation_strings":["Queen's University Belfast, Belfast BT7 1NN, U.K"],"affiliations":[{"raw_affiliation_string":"Queen's University Belfast, Belfast BT7 1NN, U.K","institution_ids":["https://openalex.org/I126231945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101838286"],"corresponding_institution_ids":["https://openalex.org/I126231945"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09487585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"436","last_page":"440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.9998000264167786,"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/speech-recognition","display_name":"Speech recognition","score":0.8295993208885193},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8049236536026001},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7254883050918579},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6842372417449951},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.5706234574317932},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5553504228591919},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4517369866371155},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.44887638092041016},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4417172372341156},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.42408308386802673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39638346433639526},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09439694881439209}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.8295993208885193},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8049236536026001},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7254883050918579},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6842372417449951},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.5706234574317932},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5553504228591919},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4517369866371155},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.44887638092041016},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4417172372341156},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.42408308386802673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39638346433639526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09439694881439209},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2019-2127","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2019-2127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2019","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/4833a7c9-3d4f-4ac2-81b3-62d47cc381df","is_oa":true,"landing_page_url":"https://pure.qub.ac.uk/en/publications/4833a7c9-3d4f-4ac2-81b3-62d47cc381df","pdf_url":"https://pureadmin.qub.ac.uk/ws/files/185362236/2127_paper_final.pdf","source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ming, J & Crookes, D 2019, Full-Sentence Correlation: a Method to Handle Unpredictable Noise for Robust Speech Recognition. in Interspeech 2019: Proceedings. pp. 436-440.","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/4833a7c9-3d4f-4ac2-81b3-62d47cc381df","is_oa":true,"landing_page_url":"https://pure.qub.ac.uk/en/publications/4833a7c9-3d4f-4ac2-81b3-62d47cc381df","pdf_url":"https://pureadmin.qub.ac.uk/ws/files/185362236/2127_paper_final.pdf","source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ming, J & Crookes, D 2019, Full-Sentence Correlation: a Method to Handle Unpredictable Noise for Robust Speech Recognition. in Interspeech 2019: Proceedings. pp. 436-440.","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2972932546.pdf","grobid_xml":"https://content.openalex.org/works/W2972932546.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1576272084","https://openalex.org/W1598508708","https://openalex.org/W1666984270","https://openalex.org/W1979651826","https://openalex.org/W1993882792","https://openalex.org/W2012174101","https://openalex.org/W2015337779","https://openalex.org/W2039285212","https://openalex.org/W2044893557","https://openalex.org/W2062164080","https://openalex.org/W2117239706","https://openalex.org/W2151484683","https://openalex.org/W2158336491","https://openalex.org/W2288371874","https://openalex.org/W2290318471","https://openalex.org/W2295887957","https://openalex.org/W2296167893","https://openalex.org/W2404151332","https://openalex.org/W2407204023","https://openalex.org/W2575597479","https://openalex.org/W2630683241","https://openalex.org/W2665095164","https://openalex.org/W2696967604","https://openalex.org/W2797972631","https://openalex.org/W2807791502","https://openalex.org/W2962894366","https://openalex.org/W2972686261"],"related_works":["https://openalex.org/W2136652457","https://openalex.org/W2169849734","https://openalex.org/W2116722627","https://openalex.org/W2129150969","https://openalex.org/W2236912844","https://openalex.org/W1975869217","https://openalex.org/W2401728283","https://openalex.org/W2383829109","https://openalex.org/W2379938888","https://openalex.org/W2386035178"],"abstract_inverted_index":{"We":[0],"describe":[1],"the":[2,22,31,37,46,69,73,91,94],"theory":[3],"and":[4,13,42,44,101,111],"implementation":[5],"of":[6,72,93,104],"full-sentence":[7,118],"speech":[8,11,105,108,121,124],"correlation":[9,119],"for":[10,106,120],"recognition,":[12,125],"demonstrate":[14],"its":[15],"superior":[16],"robustness":[17],"to":[18,76,86,116],"unseen/untrained":[19],"noise.":[20],"For":[21],"Aurora":[23],"2":[24],"data,":[25],"trained":[26],"with":[27,39,59,98],"only":[28],"clean":[29],"speech,":[30],"new":[32,74,80],"method":[33,75,81],"performs":[34],"competitively":[35],"against":[36],"state-of-the-art":[38],"multicondition":[40],"training":[41],"adaptation,":[43],"achieves":[45],"lowest":[47],"word":[48],"error":[49],"rate":[50],"in":[51],"very":[52],"low":[53],"SNR":[54],"(-5":[55],"dB).":[56],"Further":[57],"experiments":[58],"highly":[60],"nonstationary":[61],"noise":[62,126,132],"(pop":[63],"song,":[64],"broadcast":[65],"news,":[66],"etc.)":[67],"show":[68],"surprising":[70],"ability":[71],"handle":[77],"unpredictable":[78],"noise.The":[79],"adds":[82],"several":[83],"novel":[84,113],"developments":[85],"our":[87],"previous":[88],"research,":[89],"including":[90],"modeling":[92],"speaker":[95],"characteristics":[96],"along":[97],"other":[99],"acoustic":[100],"semantic":[102],"features":[103],"separating":[107],"from":[109],"noise,":[110],"a":[112],"Viterbi":[114],"algorithm":[115],"implement":[117],"recognition.Index":[122],"Terms:":[123],"robustness,":[127],"full":[128],"sentence":[129],"correlation,":[130],"unseen/unpredictable":[131]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
