{"id":"https://openalex.org/W2144228048","doi":"https://doi.org/10.1109/iscas.2003.1205828","title":"Improving the filter bank of a classic speech feature extraction algorithm","display_name":"Improving the filter bank of a classic speech feature extraction algorithm","publication_year":2003,"publication_date":"2003-11-04","ids":{"openalex":"https://openalex.org/W2144228048","doi":"https://doi.org/10.1109/iscas.2003.1205828","mag":"2144228048"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2003.1205828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2003.1205828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03.","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/A5053622159","display_name":"Mark D. Skowronski","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M.D. Skowronski","raw_affiliation_strings":["Computational Neuro-Engineering Laboratory, University of Florida, Gainesville, FL, USA","Computational Neuro-Eng. Lab, Florida Univ., Gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Neuro-Engineering Laboratory, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Computational Neuro-Eng. Lab, Florida Univ., Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113319313","display_name":"J.G. Harris","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.G. Harris","raw_affiliation_strings":["Computational Neuro-Engineering Laboratory, University of Florida, Gainesville, FL, USA","Computational Neuro-Eng. Lab, Florida Univ., Gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Neuro-Engineering Laboratory, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Computational Neuro-Eng. Lab, Florida Univ., Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":0.5108,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.65347763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"4","issue":null,"first_page":"IV","last_page":"281"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9997000098228455,"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":0.998199999332428,"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":0.8886523246765137},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.7253677248954773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7104364633560181},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.685631513595581},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6765662431716919},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5099107027053833},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.49332061409950256},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.46451038122177124},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.44542422890663147},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4192348122596741},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3844512104988098},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.37448304891586304},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35181349515914917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34984004497528076},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1558707058429718},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14075186848640442},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10895338654518127}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.8886523246765137},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.7253677248954773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7104364633560181},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.685631513595581},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6765662431716919},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5099107027053833},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.49332061409950256},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.46451038122177124},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.44542422890663147},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4192348122596741},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3844512104988098},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.37448304891586304},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35181349515914917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34984004497528076},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1558707058429718},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14075186848640442},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10895338654518127},{"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/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","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":3,"locations":[{"id":"doi:10.1109/iscas.2003.1205828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2003.1205828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.497.8590","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.497.8590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cnel.ufl.edu/hybrid/_private/publications/filterbank_01205828.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.93.5101","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.93.5101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cnel.ufl.edu/~markskow/papers/iscas03.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W88081813","https://openalex.org/W1606925698","https://openalex.org/W2008806652","https://openalex.org/W2064498313","https://openalex.org/W2093173532","https://openalex.org/W2148154194","https://openalex.org/W3144462910","https://openalex.org/W6603616073"],"related_works":["https://openalex.org/W2018086531","https://openalex.org/W2766680336","https://openalex.org/W1980297060","https://openalex.org/W2133320490","https://openalex.org/W2387604097","https://openalex.org/W4289830142","https://openalex.org/W1497065097","https://openalex.org/W2373675101","https://openalex.org/W3150393935","https://openalex.org/W2125446021"],"abstract_inverted_index":{"The":[0],"most":[1],"popular":[2],"speech":[3,9],"feature":[4],"extractor":[5],"used":[6],"in":[7,23,95],"automatic":[8],"recognition":[10],"(ASR)":[11],"systems":[12],"today":[13],"is":[14],"the":[15,25,37,55,59,92],"mel":[16],"frequency":[17],"cepstral":[18,33],"coefficient":[19],"(MFCC)":[20],"algorithm.":[21],"Introduced":[22],"1980,":[24],"filter":[26,70,74],"bank-based":[27],"algorithm":[28],"eventually":[29],"replaced":[30],"linear":[31],"prediction":[32],"coefficients":[34],"(LPCC)":[35],"as":[36],"premier":[38],"front":[39],"end,":[40],"primarily":[41],"because":[42],"of":[43,58,86],"MFCC's":[44],"superior":[45],"robustness":[46,82],"to":[47],"additive":[48],"noise.":[49],"However,":[50],"MFCC":[51,87],"does":[52],"not":[53],"approximate":[54],"critical":[56],"bandwidth":[57,71],"human":[60],"auditory":[61],"system.":[62],"We":[63],"propose":[64],"a":[65],"novel":[66],"scheme":[67],"for":[68],"decoupling":[69],"from":[72],"other":[73],"bank":[75],"parameters,":[76],"and":[77],"we":[78],"demonstrate":[79],"improved":[80],"noise":[81,97],"over":[83],"three":[84],"versions":[85],"through":[88],"HMM-based":[89],"experiments":[90],"with":[91],"English":[93],"digits":[94],"various":[96],"environments.":[98]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
