{"id":"https://openalex.org/W2719034351","doi":"https://doi.org/10.1109/icassp.2017.7952258","title":"Subspace projection cepstral coefficients for noise robust acoustic event recognition","display_name":"Subspace projection cepstral coefficients for noise robust acoustic event recognition","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2719034351","doi":"https://doi.org/10.1109/icassp.2017.7952258","mag":"2719034351"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100750094","display_name":"Sangwook Park","orcid":"https://orcid.org/0000-0002-6817-4846"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangwook Park","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024990167","display_name":"Younglo Lee","orcid":"https://orcid.org/0000-0002-0725-3444"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Younglo Lee","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102000970","display_name":"David K. Han","orcid":"https://orcid.org/0000-0001-5055-5408"},"institutions":[{"id":"https://openalex.org/I175003984","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57","country_code":"US","type":"government","lineage":["https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David K. Han","raw_affiliation_strings":["Office of Naval Research, Arlington, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Office of Naval Research, Arlington, VA, USA","institution_ids":["https://openalex.org/I175003984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026204977","display_name":"Hanseok Ko","orcid":"https://orcid.org/0000-0002-8744-4514"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hanseok Ko","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3735,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.56544288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"761","last_page":"765"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"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/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"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/T10860","display_name":"Speech and Audio Processing","score":0.9993000030517578,"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":0.9955000281333923,"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/subspace-topology","display_name":"Subspace topology","score":0.8120418190956116},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.7837973833084106},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7649329304695129},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7107688784599304},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.6373872756958008},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6339942216873169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6092133522033691},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5721758604049683},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5555595755577087},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5528730750083923},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5393040776252747},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4791752099990845},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4748661518096924},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.46895092725753784},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.4654892683029175},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4582587480545044},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.4420669674873352},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.42983436584472656},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2977747917175293},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20993942022323608},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.057065218687057495}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.8120418190956116},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.7837973833084106},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7649329304695129},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7107688784599304},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.6373872756958008},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6339942216873169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6092133522033691},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5721758604049683},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5555595755577087},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5528730750083923},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5393040776252747},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4791752099990845},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4748661518096924},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.46895092725753784},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.4654892683029175},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4582587480545044},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.4420669674873352},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.42983436584472656},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2977747917175293},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20993942022323608},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.057065218687057495},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7952258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1607274768","https://openalex.org/W1654482605","https://openalex.org/W1970578576","https://openalex.org/W1974306283","https://openalex.org/W2089368853","https://openalex.org/W2090431713","https://openalex.org/W2091741383","https://openalex.org/W2097826504","https://openalex.org/W2111432826","https://openalex.org/W2149116227","https://openalex.org/W2400753342","https://openalex.org/W2402312959","https://openalex.org/W2529233595","https://openalex.org/W4237447865","https://openalex.org/W6636061854","https://openalex.org/W6712880999","https://openalex.org/W6712898831","https://openalex.org/W6728310749"],"related_works":["https://openalex.org/W2094490861","https://openalex.org/W2018086531","https://openalex.org/W1980297060","https://openalex.org/W2387604097","https://openalex.org/W2373675101","https://openalex.org/W4385672897","https://openalex.org/W106160982","https://openalex.org/W2359140082","https://openalex.org/W2074132948","https://openalex.org/W2160511961"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,20,24],"novel":[4],"feature":[5,16],"for":[6],"noise":[7,46],"robust":[8],"sound":[9],"event":[10,31,58],"recognition":[11],"is":[12,17,27],"proposed.":[13],"The":[14],"proposed":[15,65,87],"obtained":[18],"by":[19,38],"two-step":[21],"procedure.":[22],"First,":[23],"subspace":[25,44],"bank":[26],"established":[28],"via":[29],"target":[30],"analysis":[32],"in":[33],"complex":[34],"vector":[35],"space.":[36],"Then,":[37],"projecting":[39],"observation":[40],"vectors":[41],"onto":[42],"the":[43,64,83,86],"bank,":[45],"effect":[47],"can":[48],"be":[49],"reduced":[50],"while":[51],"generating":[52],"discriminant":[53],"characters":[54],"originated":[55],"from":[56],"differing":[57],"subspaces.":[59],"To":[60],"demonstrate":[61],"robustness":[62],"of":[63],"feature,":[66],"experiments":[67],"with":[68,73],"several":[69],"classifiers":[70],"were":[71],"conducted":[72],"varying":[74],"SNR":[75],"cases":[76],"under":[77],"four":[78],"noisy":[79],"environments.":[80],"According":[81],"to":[82],"experimental":[84],"results,":[85],"method":[88],"has":[89],"shown":[90],"superior":[91],"performance":[92],"over":[93],"prominent":[94],"conventional":[95],"methods.":[96]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
