{"id":"https://openalex.org/W1566353169","doi":"https://doi.org/10.21437/icslp.2002-25","title":"Computationally efficient noise compensation for robust automatic speech recognition assessed under the Aurora 2/3 framework","display_name":"Computationally efficient noise compensation for robust automatic speech recognition assessed under the Aurora 2/3 framework","publication_year":2002,"publication_date":"2002-09-16","ids":{"openalex":"https://openalex.org/W1566353169","doi":"https://doi.org/10.21437/icslp.2002-25","mag":"1566353169"},"language":"en","primary_location":{"id":"doi:10.21437/icslp.2002-25","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2002-25","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th International Conference on Spoken Language Processing (ICSLP 2002)","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/A5066811192","display_name":"Nicholas Evans","orcid":"https://orcid.org/0000-0002-8459-1041"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nicholas W. D. Evans","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103294590","display_name":"John S. Mason","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John S. Mason","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":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"485","last_page":"488"},"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":0.9994999766349792,"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":0.9994000196456909,"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":0.7239421010017395},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6986230611801147},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.6163924932479858},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.600021481513977},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4671066999435425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38191473484039307},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3485676050186157}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7239421010017395},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6986230611801147},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.6163924932479858},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.600021481513977},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4671066999435425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38191473484039307},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3485676050186157},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/icslp.2002-25","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2002-25","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th International Conference on Spoken Language Processing (ICSLP 2002)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.142.6276","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.142.6276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://eegalilee.swan.ac.uk/publications/N.W.D.Evans/ICSLP02/icslp02.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.19.8476","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.8476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://eegalilee.swan.ac.uk/pub/Publications/N.W.D.Evans/ICSLP02/icslp02.ps.gz","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W147630799","https://openalex.org/W261114830","https://openalex.org/W1631909651","https://openalex.org/W2004826498","https://openalex.org/W2018228148","https://openalex.org/W2128653836","https://openalex.org/W2149535104","https://openalex.org/W2151484683","https://openalex.org/W2164010719"],"related_works":["https://openalex.org/W2379084545","https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W4312219546","https://openalex.org/W2377538627","https://openalex.org/W2107220315","https://openalex.org/W1589637664"],"abstract_inverted_index":{"In":[0],"the":[1,24,56,63,79,86,99],"context":[2],"of":[3,26,76,85,96],"mobile":[4],"telephony":[5],"there":[6],"is":[7,53,105,116],"a":[8,33,49],"need":[9],"for":[10],"low":[11],"resource,":[12],"computationally":[13],"efficient":[14,27],"noise":[15,29],"compensation":[16],"and":[17,52,66,81,90,113],"speech":[18],"enhancement":[19],"approaches.":[20],"This":[21],"paper":[22],"assesses":[23],"performance":[25],"quantile-based":[28],"estimation":[30],"integrated":[31],"into":[32],"nonlinear":[34],"spectral":[35],"subtraction":[36],"framework.":[37],"The":[38],"approach":[39],"has":[40],"been":[41],"implemented":[42],"in":[43],"real-time":[44],"with":[45],"minimal":[46],"latency":[47],"on":[48,62,78],"500Mhz":[50],"processor":[51],"well":[54],"within":[55],"processing":[57],"capabilities.":[58],"Experiments":[59],"are":[60,109],"reported":[61],"AURORA":[64,67,87,101],"2":[65,88],"3":[68,102],"corpa.":[69],"Results":[70],"show":[71],"an":[72,91],"average":[73,93],"relative":[74,94],"improvement":[75,95],"15%":[77],"clean":[80],"multicondition":[82],"training":[83],"sets":[84],"database":[89],"overall":[92],"20%":[97],"across":[98],"four":[100],"databases.":[103],"It":[104],"acknowledged":[106],"that":[107],"these":[108],"not":[110],"state-of-the-art":[111],"results":[112],"further":[114],"optimisation":[115],"anticipated.":[117]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}