{"id":"https://openalex.org/W1964118201","doi":"https://doi.org/10.1109/icassp.2013.6639115","title":"Feature denoising for speech separation in unknown noisy environments","display_name":"Feature denoising for speech separation in unknown noisy environments","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W1964118201","doi":"https://doi.org/10.1109/icassp.2013.6639115","mag":"1964118201"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6639115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 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/A5100375986","display_name":"Yuxuan Wang","orcid":"https://orcid.org/0000-0002-5743-2029"},"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"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuxuan Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, Ohio State University, USA","Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Ohio State University, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, 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/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 for Cognitive Science, Ohio State University, USA","Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Center for Cognitive Science, Ohio State University, USA","institution_ids":[]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100375986"],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":2.8729,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.90728593,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"7472","last_page":"7476"},"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/T11309","display_name":"Music and Audio Processing","score":0.9991000294685364,"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":0.9990000128746033,"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/intelligibility","display_name":"Intelligibility (philosophy)","score":0.6947239637374878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6801584959030151},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5976837873458862},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5900024175643921},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5534694790840149},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5362773537635803},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5346611738204956},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4808676838874817},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4763619899749756},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.474242627620697},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.4266689419746399},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.42077088356018066},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4177970290184021},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36418622732162476},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3338119387626648},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20593303442001343}],"concepts":[{"id":"https://openalex.org/C60048801","wikidata":"https://www.wikidata.org/wiki/Q1433889","display_name":"Intelligibility (philosophy)","level":2,"score":0.6947239637374878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6801584959030151},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5976837873458862},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5900024175643921},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5534694790840149},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5362773537635803},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5346611738204956},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4808676838874817},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4763619899749756},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.474242627620697},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.4266689419746399},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.42077088356018066},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4177970290184021},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36418622732162476},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3338119387626648},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20593303442001343},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6639115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W160800111","https://openalex.org/W1950777589","https://openalex.org/W1963970749","https://openalex.org/W1989364685","https://openalex.org/W2025768430","https://openalex.org/W2027804983","https://openalex.org/W2052667477","https://openalex.org/W2057889776","https://openalex.org/W2122982914","https://openalex.org/W2131753991","https://openalex.org/W2133257461","https://openalex.org/W2140499889","https://openalex.org/W2141998673","https://openalex.org/W2168379380","https://openalex.org/W2171000037","https://openalex.org/W2561557072","https://openalex.org/W4231807801","https://openalex.org/W4233392025","https://openalex.org/W6679718588","https://openalex.org/W6684924409"],"related_works":["https://openalex.org/W1986772939","https://openalex.org/W2037635165","https://openalex.org/W2542062716","https://openalex.org/W2738829087","https://openalex.org/W2231565466","https://openalex.org/W3043214604","https://openalex.org/W1505346162","https://openalex.org/W2076543106","https://openalex.org/W2019891950","https://openalex.org/W2085842814"],"abstract_inverted_index":{"Speech":[0],"separation":[1,89],"has":[2],"been":[3],"recently":[4,123],"formulated":[5],"as":[6,11],"a":[7,12,51,71,95,105],"classification":[8],"problem.":[9],"Classification":[10],"form":[13],"of":[14,25,97],"supervised":[15],"learning":[16],"usually":[17],"performs":[18,78,91],"well":[19,79],"on":[20,80],"background":[21],"noises":[22,99],"when":[23,40],"parts":[24],"them":[26],"are":[27],"seen":[28],"in":[29,94,100],"the":[30,34,55,87,113],"training":[31,65],"set.":[32],"However,":[33],"performance":[35],"can":[36],"be":[37],"significantly":[38,92],"worse":[39],"generalizing":[41],"to":[42,60,121],"completely":[43],"unseen":[44],"noises.":[45],"In":[46,104],"this":[47,81],"study,":[48],"we":[49,109],"present":[50],"method":[52],"that":[53,70,86,112],"alleviates":[54],"generalization":[56],"issue":[57],"by":[58],"attempting":[59],"denoise":[61],"acoustic":[62],"features":[63],"before":[64],"and":[66],"testing.":[67],"We":[68],"show":[69,111],"standard":[72],"multilayer":[73],"perceptron":[74],"with":[75],"proper":[76],"regularization":[77],"task.":[82],"Experimental":[83],"results":[84],"indicate":[85],"resulting":[88],"system":[90,115],"better":[93],"variety":[96],"unknown":[98],"low":[101],"SNR":[102,107],"conditions.":[103],"negative":[106],"condition,":[108],"also":[110],"proposed":[114,124],"produces":[116],"more":[117],"intelligible":[118],"speech":[119,126],"according":[120],"two":[122],"objective":[125],"intelligibility":[127],"measures.":[128]},"counts_by_year":[{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
