{"id":"https://openalex.org/W1537192855","doi":"https://doi.org/10.21437/interspeech.2004-692","title":"Entropy based combination of tandem representations for noise robust ASR","display_name":"Entropy based combination of tandem representations for noise robust ASR","publication_year":2004,"publication_date":"2004-10-04","ids":{"openalex":"https://openalex.org/W1537192855","doi":"https://doi.org/10.21437/interspeech.2004-692","mag":"1537192855"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2004-692","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2004","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://publications.idiap.ch/index.php/publications/showcite/ikbal-rr-04-19","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053319645","display_name":"Shajith Ikbal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shajith Ikbal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017720802","display_name":"Hemant Misra","orcid":"https://orcid.org/0000-0002-8179-4441"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hemant Misra","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058653260","display_name":"Sunil Sivadas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sunil Sivadas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042260050","display_name":"Hynek He\u0159mansk\u00fd","orcid":"https://orcid.org/0000-0001-8032-4811"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hynek Hermansky","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5108187466","display_name":"Herv\u00e9 Bourlard","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Herv\u00e9 Bourlard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0071,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.86026566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2553","last_page":"2556"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9995999932289124,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9968000054359436,"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/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.7594139575958252},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6970728635787964},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6694716215133667},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.6488277912139893},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6377390027046204},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6271480917930603},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5567180514335632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5463391542434692},{"id":"https://openalex.org/keywords/tandem","display_name":"Tandem","score":0.46621519327163696},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.457871675491333},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.41544950008392334},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3596940040588379},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24404862523078918},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.0913616418838501},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07482725381851196},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07262110710144043}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.7594139575958252},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6970728635787964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6694716215133667},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.6488277912139893},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6377390027046204},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6271480917930603},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5567180514335632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5463391542434692},{"id":"https://openalex.org/C2777814067","wikidata":"https://www.wikidata.org/wiki/Q1752317","display_name":"Tandem","level":2,"score":0.46621519327163696},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.457871675491333},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.41544950008392334},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3596940040588379},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24404862523078918},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0913616418838501},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07482725381851196},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07262110710144043},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.21437/interspeech.2004-692","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2004","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.tind.io:83082","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/228516","pdf_url":"http://publications.idiap.ch/index.php/publications/showcite/ikbal-rr-04-19","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference proceedings"},{"id":"pmh:oai:infoscience.tind.io:83085","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/83085","pdf_url":"https://infoscience.epfl.ch/record/83085/files/rr04-19.pdf","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"report"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.2.1472","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.1472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.idiap.ch/~ikbal/LATEST/PUB/ikbal_ent_com_tan.pdf","raw_type":"text"},{"id":"pmh:oai:infoscience.epfl.ch:83082","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/83082","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:infoscience.tind.io:83082","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/228516","pdf_url":"http://publications.idiap.ch/index.php/publications/showcite/ikbal-rr-04-19","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference proceedings"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5799999833106995,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1537192855.pdf","grobid_xml":"https://content.openalex.org/works/W1537192855.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W204308143","https://openalex.org/W1484387534","https://openalex.org/W1486143877","https://openalex.org/W1493299544","https://openalex.org/W1553004968","https://openalex.org/W1592386823","https://openalex.org/W2103621378","https://openalex.org/W2103687670","https://openalex.org/W2153723410","https://openalex.org/W2165712214"],"related_works":["https://openalex.org/W2085876421","https://openalex.org/W2130417215","https://openalex.org/W2378008304","https://openalex.org/W2018086531","https://openalex.org/W1980297060","https://openalex.org/W2387604097","https://openalex.org/W2373675101","https://openalex.org/W4385672897","https://openalex.org/W106160982","https://openalex.org/W2359140082"],"abstract_inverted_index":{"In":[0],"this":[1,82],"paper,":[2],"we":[3],"present":[4],"an":[5],"entropy":[6,76],"based":[7,20,29,77,104],"method":[8,79],"to":[9,41,48,89,99],"combine":[10],"tandem":[11,53,63],"representations":[12],"of":[13,36,92,102],"the":[14,56,90,100],"recently":[15],"proposed":[16],"Phase":[17],"AutoCorrelation":[18],"(PAC)":[19],"features":[21,60,94,105],"and":[22,39,98],"Mel-Frequency":[23],"Cepstral":[24],"Coefficients":[25],"(MFCC)":[26],"features.":[27],"PAC":[28,103],"features,":[30],"derived":[31],"from":[32],"a":[33,66,86,111],"nonlinear":[34],"transformation":[35],"autocorrelation":[37],"coefficients":[38],"shown":[40],"be":[42],"noise":[43,50],"robust,":[44],"improve":[45],"their":[46,52,62],"robustness":[47],"additive":[49],"in":[51,61,69,81,95,106,115],"representation.":[54],"On":[55],"other":[57],"hand,":[58],"MFCC":[59,93],"representation":[64,91,101],"show":[65],"significant":[67],"improvement":[68],"recognition":[70,113],"performance":[71,114],"on":[72],"clean":[73,96],"speech.":[74],"An":[75],"combination":[78],"investigated":[80],"paper":[83],"adaptively":[84],"gives":[85],"higher":[87],"weighting":[88],"speech":[97],"noisy":[107],"speech,":[108],"thus":[109],"yielding":[110],"robust":[112],"all":[116],"conditions.":[117]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}