{"id":"https://openalex.org/W2142909779","doi":"https://doi.org/10.1109/icassp.2009.4960611","title":"Incorporating spectral subtraction and noise type for unvoiced speech segregation","display_name":"Incorporating spectral subtraction and noise type for unvoiced speech segregation","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2142909779","doi":"https://doi.org/10.1109/icassp.2009.4960611","mag":"2142909779"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4960611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"article","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/A5110092110","display_name":"Ke Hu","orcid":"https://orcid.org/0009-0003-0835-5893"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]},{"id":"https://openalex.org/I4210122295","display_name":"Columbus Center","ror":"https://ror.org/02qxd8910","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210122295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ke Hu","raw_affiliation_strings":["Department of Computer Science and Engineering, Center of Cognitive Science, Columbus, OH, USA","[Department of Computer Science and Engineering & Center for Cognitive Science, The Ohio State University, Columbus, 43210-1277, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Center of Cognitive Science, Columbus, OH, USA","institution_ids":["https://openalex.org/I4210122295"]},{"raw_affiliation_string":"[Department of Computer Science and Engineering & Center for Cognitive Science, The Ohio State University, Columbus, 43210-1277, USA]","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051837453","display_name":"DeLiang Wang","orcid":"https://orcid.org/0000-0001-8195-6319"},"institutions":[{"id":"https://openalex.org/I4210122295","display_name":"Columbus Center","ror":"https://ror.org/02qxd8910","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210122295"]},{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"DeLiang Wang","raw_affiliation_strings":["Department of Computer Science and Engineering & Center of Cognitive Science, Columbus, OH, USA","[Department of Computer Science and Engineering & Center for Cognitive Science, The Ohio State University, Columbus, 43210-1277, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering & Center of Cognitive Science, Columbus, OH, USA","institution_ids":["https://openalex.org/I4210122295"]},{"raw_affiliation_string":"[Department of Computer Science and Engineering & Center for Cognitive Science, The Ohio State University, Columbus, 43210-1277, USA]","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110092110"],"corresponding_institution_ids":["https://openalex.org/I4210122295","https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":1.4284,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81942971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"17","issue":null,"first_page":"4425","last_page":"4428"},"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/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.715679407119751},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6827807426452637},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5994420647621155},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5929605960845947},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5685999393463135},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5295304656028748},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.49760010838508606},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4809105396270752},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4787425398826599},{"id":"https://openalex.org/keywords/monaural","display_name":"Monaural","score":0.4244781732559204},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4186897277832031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3825031518936157},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37134188413619995},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.19634661078453064},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1589665710926056}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.715679407119751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6827807426452637},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5994420647621155},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5929605960845947},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5685999393463135},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5295304656028748},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.49760010838508606},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4809105396270752},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4787425398826599},{"id":"https://openalex.org/C102894143","wikidata":"https://www.wikidata.org/wiki/Q1323979","display_name":"Monaural","level":2,"score":0.4244781732559204},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4186897277832031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3825031518936157},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37134188413619995},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.19634661078453064},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1589665710926056},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2009.4960611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.151.1996","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.151.1996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.ohio-state.edu/~huk/paper/HuWang09.icassp.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.151.4498","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.151.4498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.ohio-state.edu/~dwang/papers/Hu-Wang.icassp09.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W10765870","https://openalex.org/W160800111","https://openalex.org/W1575829986","https://openalex.org/W1979099822","https://openalex.org/W2013312573","https://openalex.org/W2027804983","https://openalex.org/W2030680983","https://openalex.org/W2042750879","https://openalex.org/W2057889776","https://openalex.org/W2123157731","https://openalex.org/W2561557072","https://openalex.org/W3216401400","https://openalex.org/W4231807801","https://openalex.org/W4233392025","https://openalex.org/W4245919820","https://openalex.org/W4256399001","https://openalex.org/W6600441815","https://openalex.org/W6657412755"],"related_works":["https://openalex.org/W2538939196","https://openalex.org/W3045520545","https://openalex.org/W2120771489","https://openalex.org/W2051376034","https://openalex.org/W2955597484","https://openalex.org/W3110551121","https://openalex.org/W2131486661","https://openalex.org/W2089240210","https://openalex.org/W2161396743","https://openalex.org/W2386453889"],"abstract_inverted_index":{"Unvoiced":[0],"speech":[1,9,37,53,136],"poses":[2],"a":[3,31,45],"big":[4],"challenge":[5],"to":[6,20,23,34,76,87],"current":[7],"monaural":[8],"segregation":[10,54,137],"systems.":[11],"It":[12],"lacks":[13],"harmonic":[14],"structure":[15],"and":[16,49,59,81,124],"is":[17,84],"highly":[18],"susceptible":[19],"interference":[21],"due":[22],"its":[24],"relatively":[25],"weak":[26],"energy.":[27],"This":[28],"paper":[29],"describes":[30],"new":[32],"approach":[33,130],"segregate":[35],"unvoiced":[36,52,92,100,135],"from":[38],"nonspeech":[39],"interference.":[40],"The":[41],"system":[42],"first":[43,74],"estimates":[44],"voiced":[46,70],"binary":[47,71],"mask,":[48],"then":[50,85],"performs":[51],"in":[55,68,91],"two":[56],"stages:":[57],"segmentation":[58],"grouping.":[60],"In":[61],"segmentation,":[62],"time-frequency":[63,89],"units":[64],"labeled":[65],"as":[66],"0":[67],"the":[69,78,96,128,132],"mask":[72],"are":[73,102],"used":[75],"estimate":[77],"noise":[79],"energy":[80],"spectral":[82],"subtraction":[83],"performed":[86],"generate":[88],"segments":[90,101,107],"intervals.":[93],"Based":[94],"on":[95],"type":[97],"of":[98,119,134],"noise,":[99],"grouped":[103],"either":[104],"by":[105,112,116],"selecting":[106],"consistent":[108],"with":[109],"those":[110],"generated":[111],"onset/offset":[113],"analysis":[114],"or":[115],"Bayesian":[117],"classification":[118],"acoustic-phonetic":[120],"features.":[121],"Systematic":[122],"evaluation":[123],"comparison":[125],"show":[126],"that":[127],"proposed":[129],"improves":[131],"performance":[133],"considerably.":[138]},"counts_by_year":[{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}