{"id":"https://openalex.org/W52406495","doi":"https://doi.org/10.21437/interspeech.2007-335","title":"Adding noise to improve noise robustness in speech recognition","display_name":"Adding noise to improve noise robustness in speech recognition","publication_year":2007,"publication_date":"2007-08-27","ids":{"openalex":"https://openalex.org/W52406495","doi":"https://doi.org/10.21437/interspeech.2007-335","mag":"52406495"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2007-335","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2007-335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2007","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/A5107337302","display_name":"Nicol\u00e1s Morales","orcid":"https://orcid.org/0000-0002-2660-1141"},"institutions":[{"id":"https://openalex.org/I63634437","display_name":"Universidad Aut\u00f3noma de Madrid","ror":"https://ror.org/01cby8j38","country_code":"ES","type":"education","lineage":["https://openalex.org/I63634437"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Nicol\u00e1s Morales","raw_affiliation_strings":["Autonomous University of Madrid"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Autonomous University of Madrid","institution_ids":["https://openalex.org/I63634437"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102952206","display_name":"Liang Gu","orcid":"https://orcid.org/0000-0002-9719-7510"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Gu","raw_affiliation_strings":["IBM, ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM, ,","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074146436","display_name":"Yuqing Gao","orcid":"https://orcid.org/0000-0001-8709-8378"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuqing Gao","raw_affiliation_strings":["IBM, ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM, ,","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"930","last_page":"933"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9983999729156494,"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/robustness","display_name":"Robustness (evolution)","score":0.7417125701904297},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.722187876701355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6946703195571899},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5212303400039673},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4435679316520691},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.41002407670021057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3340270519256592},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.2155822217464447}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7417125701904297},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.722187876701355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6946703195571899},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5212303400039673},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4435679316520691},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.41002407670021057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3340270519256592},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2155822217464447},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2007-335","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2007-335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2007","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1279245896","https://openalex.org/W1904457459","https://openalex.org/W2050693797","https://openalex.org/W2063291689","https://openalex.org/W2100969003","https://openalex.org/W2121603214","https://openalex.org/W2123072056","https://openalex.org/W2137075158","https://openalex.org/W2137644731","https://openalex.org/W2146871184","https://openalex.org/W2148154194","https://openalex.org/W2157702502"],"related_works":["https://openalex.org/W2770665941","https://openalex.org/W3096184950","https://openalex.org/W2275432853","https://openalex.org/W197907117","https://openalex.org/W2171117985","https://openalex.org/W1526760723","https://openalex.org/W2126659863","https://openalex.org/W2012356576","https://openalex.org/W4385670989","https://openalex.org/W3112120395"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3],"explore":[4],"a":[5,25,87,119],"technique":[6],"for":[7,38,86,125],"increasing":[8],"recognition":[9,124],"accuracy":[10,83],"on":[11],"speech":[12,123],"affected":[13],"by":[14,21],"corrupting":[15,60,101,117],"noise":[16,29,36],"of":[17,24,35,56,59,89,96,99,109,115],"an":[18,72],"undetermined":[19],"nature,":[20],"the":[22,43,48,57,76,100,113,127,131],"addition":[23],"known":[26],"and":[27,52,84],"well-behaved":[28],"(masking":[30],"noise).":[31],"The":[32,103],"same":[33],"type":[34,58],"used":[37],"masking":[39],"is":[40,65,94,105,134],"added":[41],"to":[42,107,112],"training":[44,51],"data,":[45],"thus":[46],"reducing":[47],"gap":[49],"between":[50],"test":[53],"conditions,":[54,90],"independent":[55],"noise,":[61,118],"or":[62,67],"whether":[63],"it":[64],"stationary":[66],"not.":[68],"While":[69],"still":[70],"in":[71,82,122],"early":[73],"development":[74],"stage,":[75],"new":[77],"approach":[78,104,133],"shows":[79],"consistent":[80],"improvements":[81],"robustness":[85],"variety":[88],"where":[91],"no":[92],"use":[93],"made":[95],"a-priori":[97],"knowledge":[98],"noise.":[102],"shown":[106],"be":[108],"particular":[110],"interest":[111],"case":[114],"cross-talk":[116],"complicated":[120],"situation":[121],"which":[126],"relative":[128],"gain":[129],"with":[130],"proposed":[132],"over":[135],"24%.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
