{"id":"https://openalex.org/W2127991685","doi":"https://doi.org/10.1109/icassp.2005.1415098","title":"Multi-resolution Spectral Entropy Feature for Robust ASR","display_name":"Multi-resolution Spectral Entropy Feature for Robust ASR","publication_year":2006,"publication_date":"2006-10-11","ids":{"openalex":"https://openalex.org/W2127991685","doi":"https://doi.org/10.1109/icassp.2005.1415098","mag":"2127991685"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2005.1415098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1415098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://infoscience.epfl.ch/record/83250/files/rr04-37.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017720802","display_name":"Hemant Misra","orcid":"https://orcid.org/0000-0002-8179-4441"},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]},{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"H. Misra","raw_affiliation_strings":["Federal Institute of Technology, Lausanne, Switzerland","IDIAP Research Institute, Martigny, Switzerland"],"affiliations":[{"raw_affiliation_string":"Federal Institute of Technology, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"IDIAP Research Institute, Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053319645","display_name":"Shajith Ikbal","orcid":null},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]},{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"S. Ikbal","raw_affiliation_strings":["Federal Institute of Technology, Lausanne, Switzerland","IDIAP Research Institute, Martigny, Switzerland"],"affiliations":[{"raw_affiliation_string":"Federal Institute of Technology, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"IDIAP Research Institute, Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058653260","display_name":"Sunil Sivadas","orcid":null},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]},{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["CH","FI"],"is_corresponding":false,"raw_author_name":"S. Sivadas","raw_affiliation_strings":["IDIAP Research Institute, Martigny, Switzerland","Nokia Research Center, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"IDIAP Research Institute, Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]},{"raw_affiliation_string":"Nokia Research Center, Tampere, Finland","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108291827","display_name":"H. Bourlard","orcid":null},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]},{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"H. Bourlard","raw_affiliation_strings":["Federal Institute of Technology, Lausanne, Switzerland","IDIAP Research Institute, Martigny, Switzerland"],"affiliations":[{"raw_affiliation_string":"Federal Institute of Technology, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"IDIAP Research Institute, Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017720802"],"corresponding_institution_ids":["https://openalex.org/I5124864","https://openalex.org/I7495430"],"apc_list":null,"apc_paid":null,"fwci":2.2571,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.87876802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"253","last_page":"256"},"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":0.9998000264167786,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9984999895095825,"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/entropy","display_name":"Entropy (arrow of time)","score":0.6695982217788696},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6402348279953003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6321535110473633},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6177948117256165},{"id":"https://openalex.org/keywords/maximum-entropy-spectral-estimation","display_name":"Maximum entropy spectral estimation","score":0.6112657189369202},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5418189167976379},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.43080177903175354},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.4293314814567566},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3542443513870239},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33294594287872314},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14613866806030273}],"concepts":[{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6695982217788696},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6402348279953003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6321535110473633},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6177948117256165},{"id":"https://openalex.org/C89735579","wikidata":"https://www.wikidata.org/wiki/Q6795894","display_name":"Maximum entropy spectral estimation","level":3,"score":0.6112657189369202},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5418189167976379},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43080177903175354},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.4293314814567566},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3542443513870239},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33294594287872314},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14613866806030273},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2005.1415098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1415098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.tind.io:83250","is_oa":true,"landing_page_url":"http://publications.idiap.ch/index.php/publications/showcite/misra-rr-04-37","pdf_url":"https://infoscience.epfl.ch/record/83250/files/rr04-37.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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference proceedings"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.172.3089","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.172.3089","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/ftp/reports/2004/rr04-37.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:infoscience.tind.io:83250","is_oa":true,"landing_page_url":"http://publications.idiap.ch/index.php/publications/showcite/misra-rr-04-37","pdf_url":"https://infoscience.epfl.ch/record/83250/files/rr04-37.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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference proceedings"},"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G6442921865","display_name":null,"funder_award_id":"National Centre of Competence in Re","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2127991685.pdf","grobid_xml":"https://content.openalex.org/works/W2127991685.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W141886903","https://openalex.org/W182487737","https://openalex.org/W204308143","https://openalex.org/W1974387177","https://openalex.org/W1985836220","https://openalex.org/W2090861223","https://openalex.org/W2137075158","https://openalex.org/W2148154194","https://openalex.org/W2165712214","https://openalex.org/W2169559282","https://openalex.org/W6605786316","https://openalex.org/W6608245754","https://openalex.org/W6684249834"],"related_works":["https://openalex.org/W2132953787","https://openalex.org/W1966654446","https://openalex.org/W2073470747","https://openalex.org/W2039232173","https://openalex.org/W2161544911","https://openalex.org/W309135373","https://openalex.org/W2059889790","https://openalex.org/W1975612632","https://openalex.org/W3041490575","https://openalex.org/W2970690932"],"abstract_inverted_index":{"Recently,":[0],"entropy":[1,36,47,54,62,82,111],"measures":[2],"at":[3,96,129],"different":[4,130],"stages":[5],"of":[6,26,63,72,79],"recognition":[7,14],"have":[8],"been":[9],"used":[10],"in":[11,100],"automatic":[12],"speech":[13],"(ASR)":[15],"tasks.":[16],"In":[17,38],"a":[18,27,33],"recent":[19],"paper,":[20,40],"we":[21,41,68,104],"proposed":[22],"that":[23,106],"formant":[24],"positions":[25],"spectrum":[28],"can":[29],"be":[30],"captured":[31],"by":[32],"multi-resolution":[34],"spectral":[35,46,81],"feature.":[37,83],"this":[39],"suggest":[42],"modifications":[43],"to":[44,59,89],"the":[45,53,60,64,70,76,80,101,107,121],"feature":[48,86,124],"extraction":[49],"approach":[50],"and":[51,75,93,112],"compute":[52],"contribution":[55],"from":[56],"each":[57],"sub-band":[58],"total":[61],"normalized":[65],"spectrum.":[66],"Further,":[67],"explore":[69],"ideas":[71],"overlapping":[73],"sub-bands":[74],"time":[77],"derivatives":[78],"The":[84],"modified":[85],"is":[87],"robust":[88],"additive":[90,126],"wide-band":[91,127],"noise":[92,128],"performs":[94],"well":[95],"low":[97],"SNRs.":[98,131],"Finally,":[99],"TANDEM":[102],"framework,":[103],"show":[105],"system":[108],"using":[109],"combined":[110],"PLP":[113,123],"(perceptual":[114],"linear":[115],"prediction)":[116],"features":[117],"works":[118],"better":[119],"than":[120],"baseline":[122],"for":[125]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
