{"id":"https://openalex.org/W4389164436","doi":"https://doi.org/10.1109/access.2023.3337992","title":"Infant Cry Detection With Lightweight Wavelet Scattering Networks","display_name":"Infant Cry Detection With Lightweight Wavelet Scattering Networks","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389164436","doi":"https://doi.org/10.1109/access.2023.3337992"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3337992","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3337992","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10335657.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10335657.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101947366","display_name":"Haitao Cao","orcid":"https://orcid.org/0000-0002-8626-8686"},"institutions":[{"id":"https://openalex.org/I4210104080","display_name":"Guangzhou Panyu Polytechnic","ror":"https://ror.org/01j9jcf33","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104080"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Cao","raw_affiliation_strings":["School of Information Engineering, Guangzhou Panyu Polytechnic, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8626-8686","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangzhou Panyu Polytechnic, Guangzhou, China","institution_ids":["https://openalex.org/I4210104080"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101597914","display_name":"Haishan Chen","orcid":"https://orcid.org/0000-0003-1759-4004"},"institutions":[{"id":"https://openalex.org/I4210104080","display_name":"Guangzhou Panyu Polytechnic","ror":"https://ror.org/01j9jcf33","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104080"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haishan Chen","raw_affiliation_strings":["School of Information Engineering, Guangzhou Panyu Polytechnic, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1759-4004","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangzhou Panyu Polytechnic, Guangzhou, China","institution_ids":["https://openalex.org/I4210104080"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008125765","display_name":"Junying Yuan","orcid":"https://orcid.org/0000-0003-0156-9373"},"institutions":[{"id":"https://openalex.org/I4210103346","display_name":"Nanfang Hospital","ror":"https://ror.org/01eq10738","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210103346"]},{"id":"https://openalex.org/I4400600959","display_name":"Nanfang College Guangzhou","ror":"https://ror.org/04vrxqg89","country_code":null,"type":"education","lineage":["https://openalex.org/I4400600959"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junying Yuan","raw_affiliation_strings":["School of Electrical and Computer Engineering, Guangzhou Nanfang College, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0156-9373","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Guangzhou Nanfang College, Guangzhou, China","institution_ids":["https://openalex.org/I4210103346","https://openalex.org/I4400600959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.324,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.90772898,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"11","issue":null,"first_page":"135905","last_page":"135914"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13289","display_name":"Infant Health and Development","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T13289","display_name":"Infant Health and Development","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9968000054359436,"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":0.9933000206947327,"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/robustness","display_name":"Robustness (evolution)","score":0.7538667917251587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7524754405021667},{"id":"https://openalex.org/keywords/infant-crying","display_name":"Infant crying","score":0.7022056579589844},{"id":"https://openalex.org/keywords/crying","display_name":"Crying","score":0.6268960237503052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.595888078212738},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5829451084136963},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4704507887363434},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.43799838423728943},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.42424821853637695},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.41276222467422485},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.393206387758255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37771281599998474},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.34929317235946655},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3370658755302429},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3293952941894531},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.2495483160018921},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1105019748210907}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7538667917251587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7524754405021667},{"id":"https://openalex.org/C2779002586","wikidata":"https://www.wikidata.org/wiki/Q39059161","display_name":"Infant crying","level":3,"score":0.7022056579589844},{"id":"https://openalex.org/C2778013503","wikidata":"https://www.wikidata.org/wiki/Q152247","display_name":"Crying","level":2,"score":0.6268960237503052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.595888078212738},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5829451084136963},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4704507887363434},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.43799838423728943},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.42424821853637695},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.41276222467422485},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.393206387758255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37771281599998474},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.34929317235946655},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3370658755302429},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3293952941894531},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2495483160018921},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1105019748210907},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3337992","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3337992","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10335657.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5e3b157932cd44eca0626eb72b7129e6","is_oa":true,"landing_page_url":"https://doaj.org/article/5e3b157932cd44eca0626eb72b7129e6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 135905-135914 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3337992","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3337992","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10335657.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389164436.pdf","grobid_xml":"https://content.openalex.org/works/W4389164436.grobid-xml"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W1540630895","https://openalex.org/W1686810756","https://openalex.org/W1994906459","https://openalex.org/W2002850343","https://openalex.org/W2003289302","https://openalex.org/W2052666245","https://openalex.org/W2069501481","https://openalex.org/W2072072671","https://openalex.org/W2093231248","https://openalex.org/W2159333554","https://openalex.org/W2185345158","https://openalex.org/W2194775991","https://openalex.org/W2261689926","https://openalex.org/W2404938947","https://openalex.org/W2603142085","https://openalex.org/W2705863727","https://openalex.org/W2741049562","https://openalex.org/W2746314669","https://openalex.org/W2783672456","https://openalex.org/W2797583228","https://openalex.org/W2808952658","https://openalex.org/W2883780447","https://openalex.org/W2891136101","https://openalex.org/W2897557658","https://openalex.org/W2902761001","https://openalex.org/W2936774411","https://openalex.org/W2938879599","https://openalex.org/W2945837706","https://openalex.org/W2955425717","https://openalex.org/W2958503067","https://openalex.org/W2959539607","https://openalex.org/W2963163009","https://openalex.org/W2973226577","https://openalex.org/W2976594877","https://openalex.org/W2987850431","https://openalex.org/W2989257884","https://openalex.org/W3006275583","https://openalex.org/W3025581723","https://openalex.org/W3087613160","https://openalex.org/W3092385950","https://openalex.org/W3092531824","https://openalex.org/W3097018422","https://openalex.org/W3102166770","https://openalex.org/W3106050203","https://openalex.org/W3121328487","https://openalex.org/W3134611008","https://openalex.org/W3171630147","https://openalex.org/W3196496149","https://openalex.org/W3207911573","https://openalex.org/W4205567678","https://openalex.org/W4289110086","https://openalex.org/W4292262097","https://openalex.org/W4297775537","https://openalex.org/W4385823025","https://openalex.org/W4387341593","https://openalex.org/W6632377639","https://openalex.org/W6637242042","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6713134421","https://openalex.org/W6737664043","https://openalex.org/W6743428213","https://openalex.org/W6747331233","https://openalex.org/W6748639252","https://openalex.org/W6750665317","https://openalex.org/W6762718338","https://openalex.org/W6770124661","https://openalex.org/W6780827055","https://openalex.org/W6783473203"],"related_works":["https://openalex.org/W2059572870","https://openalex.org/W2047154608","https://openalex.org/W4247977526","https://openalex.org/W4200063972","https://openalex.org/W4200120427","https://openalex.org/W2085228188","https://openalex.org/W3133688885","https://openalex.org/W2889061142","https://openalex.org/W2168857186","https://openalex.org/W2062162646"],"abstract_inverted_index":{"Devices":[0],"equipped":[1],"with":[2,88],"algorithms":[3,24],"for":[4,104],"detecting":[5,105],"infant":[6,58,106],"cries":[7,107],"allow":[8],"parents":[9],"to":[10,13,31,75],"respond":[11],"immediately":[12],"their":[14],"crying":[15,59,77],"babies.":[16],"However,":[17],"improving":[18],"detection":[19],"performance":[20],"often":[21],"requires":[22],"complex":[23],"that":[25,45],"consume":[26],"more":[27],"computing":[28],"resources,":[29],"leading":[30],"increased":[32],"power":[33],"consumption":[34],"and":[35,54,82,99],"prices.":[36],"In":[37],"this":[38,63],"study,":[39],"we":[40,65],"propose":[41],"a":[42,89],"novel":[43],"approach":[44],"leverages":[46],"first-order":[47],"Wavelet":[48],"Scattering":[49],"Coefficients":[50],"(WSC)":[51],"as":[52],"translation-invariant":[53],"deformation-stable":[55],"representations":[56],"of":[57,101],"sounds.":[60],"Based":[61],"on":[62,93],"approach,":[64],"introduce":[66],"an":[67],"end-to-end":[68],"Deep":[69],"Neural":[70],"Network":[71],"(DNN)":[72],"architecture":[73],"designed":[74],"detect":[76],"using":[78],"merely":[79],"17K":[80],"parameters":[81],"22.7M":[83],"MACs.":[84],"The":[85],"accuracy":[86,91],"results,":[87],"96.98%":[90],"rate":[92],"open-source":[94],"datasets,":[95],"demonstrate":[96],"the":[97],"effectiveness":[98],"robustness":[100],"our":[102],"model":[103],"in":[108],"real-world":[109],"environments.":[110]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}