{"id":"https://openalex.org/W2546987280","doi":"https://doi.org/10.1109/tencon.2002.1181308","title":"Combination of feature weight and speech enhancement","display_name":"Combination of feature weight and speech enhancement","publication_year":2004,"publication_date":"2004-03-02","ids":{"openalex":"https://openalex.org/W2546987280","doi":"https://doi.org/10.1109/tencon.2002.1181308","mag":"2546987280"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2002.1181308","doi":"https://doi.org/10.1109/tencon.2002.1181308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2002.1181308","pdf_url":null,"source":{"id":"https://openalex.org/S4363607986","display_name":"IEEE Region 10 Conference (TENCON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering. TENCOM '02. Proceedings.","raw_type":"proceedings-article"},"volume":null,"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/A5081656092","display_name":"Tao Xu","orcid":"https://orcid.org/0000-0002-5783-6859","observed_orcids":["https://orcid.org/0000-0002-5783-6859","https://orcid.org/0000-0002-8821-4550"]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Xu","raw_affiliation_strings":["State Key Laboratory on Microwave & Digital Communications Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory on Microwave & Digital Communications Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088955310","display_name":"Zhigang Cao","orcid":"https://orcid.org/0000-0001-7106-6734","observed_orcids":["https://orcid.org/0000-0001-7106-6734"]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang Cao","raw_affiliation_strings":["State Key Laboratory on Microwave & Digital Communications Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory on Microwave & Digital Communications Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29344479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"67","issue":null,"first_page":"441","last_page":"444"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9814000129699707,"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":0.9814000129699707,"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":0.01769999973475933,"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/T11309","display_name":"Music and Audio Processing","score":9.999999747378752e-05,"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/feature-weighting","display_name":"feature weighting","score":0.8389999866485596},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"speech enhancement","score":0.9750000238418579},{"id":"https://openalex.org/keywords/gain-coefficient","display_name":"gain coefficient","score":0.7739999890327454},{"id":"https://openalex.org/keywords/low-snr-speech","display_name":"low SNR speech","score":0.6919999718666077}],"concepts":[{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.8897128105163574},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7812854647636414},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6060868501663208},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5885494351387024},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.46829691529273987},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45680564641952515},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.43992897868156433},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.4358876943588257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.423662006855011},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4170338213443756},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35291123390197754},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.35259419679641724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2802809476852417},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.060308486223220825},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.05938166379928589},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon.2002.1181308","doi":"https://doi.org/10.1109/tencon.2002.1181308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2002.1181308","pdf_url":null,"source":{"id":"https://openalex.org/S4363607986","display_name":"IEEE Region 10 Conference (TENCON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering. TENCOM '02. Proceedings.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W75153181","https://openalex.org/W1968939597","https://openalex.org/W2074354966","https://openalex.org/W2121973264","https://openalex.org/W2158907608","https://openalex.org/W3147539069"],"related_works":["https://openalex.org/W2548899509","https://openalex.org/W2564316731","https://openalex.org/W1595711266","https://openalex.org/W1533361885","https://openalex.org/W2156333708","https://openalex.org/W3014642730","https://openalex.org/W2126701296","https://openalex.org/W4408928169","https://openalex.org/W3015525044","https://openalex.org/W2259557201"],"abstract_inverted_index":{"In":[0],"this":[1,52,66],"paper":[2],"we":[3],"propose":[4],"a":[5,39],"novel":[6],"algorithm":[7,53,67],"for":[8],"feature":[9,17],"weight":[10,27],"and":[11,31],"speech":[12,42,60],"enhancement,":[13],"in":[14],"which":[15],"every":[16],"is":[18],"weighted":[19],"according":[20],"to":[21],"their":[22],"credible":[23],"probability,":[24],"especially,":[25],"the":[26,34,58],"factors":[28],"are":[29],"formulated":[30],"obtained":[32],"from":[33],"gain":[35],"coefficients":[36],"generated":[37],"as":[38],"by-product":[40],"of":[41],"enhancement":[43,61],"based":[44],"on":[45],"short-time":[46],"spectrum":[47],"amplitude":[48],"(STSA)":[49],"estimation.":[50],"Moreover,":[51],"can":[54],"be":[55],"combined":[56],"with":[57],"front-end":[59],"itself.":[62],"Experiments":[63],"demonstrate":[64],"that":[65],"affords":[68],"significant":[69],"performance":[70],"improvements":[71],"at":[72],"low":[73],"SNRs.":[74]},"counts_by_year":[],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2016-11-11T00:00:00"}
