{"id":"https://openalex.org/W2810004028","doi":"https://doi.org/10.23919/eusipco.2018.8553512","title":"On Optimal Filtering for Speech Decomposition","display_name":"On Optimal Filtering for Speech Decomposition","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2810004028","doi":"https://doi.org/10.23919/eusipco.2018.8553512","mag":"2810004028"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2018.8553512","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://vbn.aau.dk/da/publications/20289dfb-3b13-4bd0-837b-520ad6003366","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021054273","display_name":"Alfredo Esquivel Jaramillo","orcid":"https://orcid.org/0000-0002-8994-9479"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Alfredo Esquivel Jaramillo","raw_affiliation_strings":["Audio Analysis Lab CREATE, Aalborg University"],"affiliations":[{"raw_affiliation_string":"Audio Analysis Lab CREATE, Aalborg University","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088017609","display_name":"Jesper Kj\u00e6r Nielsen","orcid":"https://orcid.org/0000-0002-2586-7925"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Jesper Kjrer Nielsen","raw_affiliation_strings":["Audio Analysis Lab CREATE, Aalborg University"],"affiliations":[{"raw_affiliation_string":"Audio Analysis Lab CREATE, Aalborg University","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026658144","display_name":"Mads Gr\u00e6sb\u00f8ll Christensen","orcid":"https://orcid.org/0000-0003-3586-7969"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Mads GnesbOll Christensen","raw_affiliation_strings":["Audio Analysis Lab CREATE, Aalborg University"],"affiliations":[{"raw_affiliation_string":"Audio Analysis Lab CREATE, Aalborg University","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021054273"],"corresponding_institution_ids":["https://openalex.org/I891191580"],"apc_list":null,"apc_paid":null,"fwci":0.8257,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72969568,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2325","last_page":"2329"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.76898193359375},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.7320281863212585},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6731467247009277},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.633556604385376},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.5753170251846313},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5418423414230347},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.503074586391449},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5026035308837891},{"id":"https://openalex.org/keywords/filtering-problem","display_name":"Filtering problem","score":0.430860698223114},{"id":"https://openalex.org/keywords/harmonic","display_name":"Harmonic","score":0.4282616674900055},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3670925796031952},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.2975751757621765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23203814029693604},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.12193486094474792},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.09959319233894348}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.76898193359375},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.7320281863212585},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6731467247009277},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.633556604385376},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.5753170251846313},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5418423414230347},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.503074586391449},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5026035308837891},{"id":"https://openalex.org/C41614226","wikidata":"https://www.wikidata.org/wiki/Q5449244","display_name":"Filtering problem","level":4,"score":0.430860698223114},{"id":"https://openalex.org/C127934551","wikidata":"https://www.wikidata.org/wiki/Q1148098","display_name":"Harmonic","level":2,"score":0.4282616674900055},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3670925796031952},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2975751757621765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23203814029693604},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.12193486094474792},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.09959319233894348},{"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/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.23919/eusipco.2018.8553512","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/20289dfb-3b13-4bd0-837b-520ad6003366","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/20289dfb-3b13-4bd0-837b-520ad6003366","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Esquivel Jaramillo, A, Nielsen, J K & Christensen, M G 2018, On Optimal Filtering for Speech Decomposition. in 2018 26th European Signal Processing Conference (EUSIPCO). IEEE (Institute of Electrical and Electronics Engineers), Proc. European Signal Processing Conference, pp. 2325-2329, 26th European Signal Processing Conference, Rome, Italy, 03/09/2018. https://doi.org/10.23919/EUSIPCO.2018.8553512","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:publications/20289dfb-3b13-4bd0-837b-520ad6003366","is_oa":true,"landing_page_url":"https://www.youtube.com/watch?v=3xlH66Dy5OY","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Esquivel Jaramillo , A , Nielsen , J K &amp; Christensen , M G 2018 , On Optimal Filtering for Speech Decomposition . in 2018 26th European Signal Processing Conference (EUSIPCO) . IEEE , Proc. European Signal Processing Conference , pp. 2325-2329 , 26th European Signal Processing Conference , Rome , Italy , 03/09/2018 . https://doi.org/10.23919/EUSIPCO.2018.8553512","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/20289dfb-3b13-4bd0-837b-520ad6003366","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/20289dfb-3b13-4bd0-837b-520ad6003366","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Esquivel Jaramillo, A, Nielsen, J K & Christensen, M G 2018, On Optimal Filtering for Speech Decomposition. in 2018 26th European Signal Processing Conference (EUSIPCO). IEEE (Institute of Electrical and Electronics Engineers), Proc. European Signal Processing Conference, pp. 2325-2329, 26th European Signal Processing Conference, Rome, Italy, 03/09/2018. https://doi.org/10.23919/EUSIPCO.2018.8553512","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W614822286","https://openalex.org/W1493163583","https://openalex.org/W1495679096","https://openalex.org/W1496971974","https://openalex.org/W1550027367","https://openalex.org/W1840106430","https://openalex.org/W1966856647","https://openalex.org/W2082101476","https://openalex.org/W2113131123","https://openalex.org/W2114420883","https://openalex.org/W2115699901","https://openalex.org/W2117550753","https://openalex.org/W2118633472","https://openalex.org/W2121771908","https://openalex.org/W2126525201","https://openalex.org/W2129082420","https://openalex.org/W2131664668","https://openalex.org/W2135775124","https://openalex.org/W2147952370","https://openalex.org/W2151484683","https://openalex.org/W2158336491","https://openalex.org/W2158972663","https://openalex.org/W2161863519","https://openalex.org/W2168523336","https://openalex.org/W2277310942","https://openalex.org/W2520704801","https://openalex.org/W2576278524","https://openalex.org/W2804967840","https://openalex.org/W4253928870"],"related_works":["https://openalex.org/W2106793170","https://openalex.org/W1577562165","https://openalex.org/W2028846388","https://openalex.org/W4295210860","https://openalex.org/W2072015625","https://openalex.org/W2117955483","https://openalex.org/W2161534637","https://openalex.org/W2010870899","https://openalex.org/W3168171120","https://openalex.org/W4251820777"],"abstract_inverted_index":{"Optimal":[0],"linear":[1,22],"filtering":[2,23,64,84],"has":[3],"been":[4],"used":[5],"extensively":[6],"for":[7,56],"speech":[8,30,39,89],"enhancement.":[9],"In":[10],"this":[11,82],"paper,":[12],"we":[13,60],"take":[14],"a":[15,28,53,62],"first":[16],"step":[17],"in":[18,71],"trying":[19],"to":[20,24],"apply":[21],"the":[25,57,72],"decomposition":[26,90],"of":[27,37,74],"noisy":[29],"signal":[31],"into":[32,40],"its":[33,41],"components.":[34],"The":[35],"problem":[36],"decomposing":[38],"voiced":[42,58],"and":[43,100],"unvoiced":[44],"components":[45,69],"is":[46,77,93],"considered":[47],"as":[48],"an":[49],"estimation":[50],"problem.":[51],"Assuming":[52],"harmonic":[54],"model":[55],"speech,":[59],"propose":[61],"Wiener":[63],"scheme":[65],"which":[66,80,92],"estimates":[67],"both":[68],"separately":[70],"presence":[73],"noise.":[75],"It":[76],"shown":[78],"under":[79],"conditions":[81],"optimal":[83],"formulation":[85],"outperforms":[86],"two":[87],"state-of-the-art":[88],"methods,":[91],"also":[94],"revealed":[95],"by":[96],"objective":[97],"measures,":[98],"spectrograms":[99],"informal":[101],"listening":[102],"tests.":[103]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
