{"id":"https://openalex.org/W2040746605","doi":"https://doi.org/10.1109/icdsp.2014.6900692","title":"Sound-event partitioning and feature normalization for robust sound-event detection","display_name":"Sound-event partitioning and feature normalization for robust sound-event detection","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2040746605","doi":"https://doi.org/10.1109/icdsp.2014.6900692","mag":"2040746605"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2014.6900692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2014.6900692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 19th International Conference on Digital Signal Processing","raw_type":"proceedings-article"},"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/A5001212991","display_name":"Baiying Lei","orcid":"https://orcid.org/0000-0002-3087-2550"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baiying Lei","raw_affiliation_strings":["Department of Biomedical Engineering, Shenzhen University, Shenzhen, China","[Department of Biomedical Engineering, Shenzhen University, Shenzhen, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"[Department of Biomedical Engineering, Shenzhen University, Shenzhen, China]","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068768998","display_name":"Man\u2010Wai Mak","orcid":"https://orcid.org/0000-0001-8854-3760"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Man-Wai Mak","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hong Kong SAR, China","The Hong Kong Polytechnic University, Hong Kong SAR, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong SAR, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong SAR, China;","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"389","last_page":"394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9965999722480774,"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/computer-science","display_name":"Computer science","score":0.730631411075592},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6691017746925354},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6333298683166504},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5513970255851746},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5311882495880127},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4853131175041199},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.46486029028892517},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4263840913772583},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4173644781112671},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.41249457001686096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37417078018188477},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07138437032699585}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.730631411075592},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6691017746925354},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6333298683166504},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5513970255851746},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5311882495880127},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4853131175041199},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.46486029028892517},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4263840913772583},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4173644781112671},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.41249457001686096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37417078018188477},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07138437032699585},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdsp.2014.6900692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2014.6900692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 19th International Conference on Digital Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/55534","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/55534","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1516488966","https://openalex.org/W1532325895","https://openalex.org/W1679894842","https://openalex.org/W1966385142","https://openalex.org/W1974387177","https://openalex.org/W1975780119","https://openalex.org/W1985043720","https://openalex.org/W1989364685","https://openalex.org/W1994244061","https://openalex.org/W2007645738","https://openalex.org/W2035732044","https://openalex.org/W2061140267","https://openalex.org/W2085803031","https://openalex.org/W2103279261","https://openalex.org/W2116681922","https://openalex.org/W2118230268","https://openalex.org/W2119110418","https://openalex.org/W2119662931","https://openalex.org/W2130640900","https://openalex.org/W2135338588","https://openalex.org/W2148154194","https://openalex.org/W2154278880","https://openalex.org/W2160335114","https://openalex.org/W2161084348","https://openalex.org/W2168441989","https://openalex.org/W4213009331"],"related_works":["https://openalex.org/W2126100045","https://openalex.org/W2336974148","https://openalex.org/W2345184372","https://openalex.org/W2187500075","https://openalex.org/W2381773606","https://openalex.org/W4225360039","https://openalex.org/W2433029016","https://openalex.org/W2588076546","https://openalex.org/W2185993203","https://openalex.org/W2140205990"],"abstract_inverted_index":{"The":[0],"ubiquitous":[1],"of":[2,9,17,65,73],"smartphones":[3],"has":[4],"opened":[5],"up":[6],"the":[7,14,37,40,53,68,74,78,98,107,118,130],"possibility":[8],"mobile":[10],"acoustic":[11,54,75,99],"surveillance.":[12],"However,":[13],"continuous":[15],"operation":[16],"surveillance":[18],"systems":[19],"calls":[20],"for":[21,82,106],"efficient":[22],"algorithms":[23],"to":[24,97,101],"conserve":[25],"battery":[26],"consumption.":[27],"This":[28,43],"paper":[29],"proposes":[30],"a":[31,47,57,63,85],"power-efficient":[32],"sound-event":[33,48],"detector":[34],"that":[35,117],"exploits":[36],"redundancy":[38],"in":[39,77],"sound":[41,58,114],"frames.":[42],"is":[44,121],"achieved":[45],"by":[46,84],"partitioning":[49],"(SEP)":[50],"scheme":[51,120],"where":[52],"vectors":[55,100],"within":[56],"event":[59],"are":[60,80,95,126],"partitioned":[61],"into":[62],"number":[64],"chunks,":[66],"and":[67,70,92,132],"means":[69],"standard":[71],"deviations":[72],"features":[76],"chucks":[79],"concatenated":[81],"classification":[83],"support":[86],"vector":[87],"machine":[88],"(SVM).":[89],"Regularized":[90],"PCA-whitening":[91],"L2":[93],"normalization":[94],"applied":[96],"make":[102],"them":[103],"more":[104],"amenable":[105],"SVM.":[108],"Experimental":[109],"results":[110],"based":[111],"on":[112],"1000":[113],"events":[115],"show":[116],"proposed":[119],"effective":[122],"even":[123],"if":[124],"there":[125],"severe":[127],"mismatches":[128],"between":[129],"training":[131],"test":[133],"conditions.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
