{"id":"https://openalex.org/W4388469737","doi":"https://doi.org/10.1109/access.2023.3330789","title":"Baby Cry Recognition by BCRNet Using Transfer Learning and Deep Feature Fusion","display_name":"Baby Cry Recognition by BCRNet Using Transfer Learning and Deep Feature Fusion","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388469737","doi":"https://doi.org/10.1109/access.2023.3330789"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3330789","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10310133.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_indexed_in_scopus":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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10310133.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100365692","display_name":"Ke Zhang","orcid":"https://orcid.org/0000-0001-8436-364X"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Ke Zhang","raw_affiliation_strings":["Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045149769","display_name":"Hua-Nong Ting","orcid":"https://orcid.org/0000-0001-6295-1651"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]},{"id":"https://openalex.org/I51185872","display_name":"Jining Medical University","ror":"https://ror.org/03zn9gq54","country_code":"CN","type":"education","lineage":["https://openalex.org/I51185872"]}],"countries":["CN","MY"],"is_corresponding":false,"raw_author_name":"Hua-Nong Ting","raw_affiliation_strings":["Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia","Faculty of Medical Engineering, Jining Medical University, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]},{"raw_affiliation_string":"Faculty of Medical Engineering, Jining Medical University, Shandong, China","institution_ids":["https://openalex.org/I51185872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005720428","display_name":"Yao Mun Choo","orcid":"https://orcid.org/0000-0002-9446-373X"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Yao-Mun Choo","raw_affiliation_strings":["Department of Paediatrics, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia"],"affiliations":[{"raw_affiliation_string":"Department of Paediatrics, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850,"provenance":"doaj"},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850,"provenance":"doaj"},"fwci":1.87,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":2,"citation_normalized_percentile":{"value":0.693905,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":78,"max":84},"biblio":{"volume":"11","issue":null,"first_page":"126251","last_page":"126262"},"is_retracted":false,"is_paratext":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":0.9926,"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":0.9755,"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/overfitting","display_name":"Overfitting","score":0.93403125},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8771831},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7920982},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.60498226},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature Learning","score":0.4568227}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.93403125},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8771831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.82720035},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7920982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78210163},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.73713857},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.60498226},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.601575},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5599944},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5169803},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47124273},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.46044528},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4568227},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3969616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.071988404},{"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/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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3330789","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10310133.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_indexed_in_scopus":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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3330789","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10310133.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_indexed_in_scopus":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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320322604","funder_display_name":"Universiti Malaya","award_id":"GPF074A-2018"}],"datasets":[],"versions":[],"referenced_works_count":46,"referenced_works":["https://openalex.org/W1988662502","https://openalex.org/W2023725399","https://openalex.org/W2027461913","https://openalex.org/W2130712314","https://openalex.org/W2149072817","https://openalex.org/W2151766943","https://openalex.org/W2165698076","https://openalex.org/W2477929851","https://openalex.org/W2565516711","https://openalex.org/W2595545152","https://openalex.org/W2623629680","https://openalex.org/W2768772380","https://openalex.org/W2786834204","https://openalex.org/W2902761001","https://openalex.org/W2911810010","https://openalex.org/W2914836623","https://openalex.org/W2918583704","https://openalex.org/W2963881378","https://openalex.org/W2965034699","https://openalex.org/W2971219780","https://openalex.org/W2981822782","https://openalex.org/W2995963191","https://openalex.org/W3004440566","https://openalex.org/W3012365547","https://openalex.org/W3016080232","https://openalex.org/W3025981493","https://openalex.org/W3027732850","https://openalex.org/W3035620162","https://openalex.org/W3090558582","https://openalex.org/W3091787675","https://openalex.org/W3092468623","https://openalex.org/W3097211536","https://openalex.org/W3120437929","https://openalex.org/W3134611008","https://openalex.org/W3168467966","https://openalex.org/W3174716293","https://openalex.org/W3192503126","https://openalex.org/W3210197999","https://openalex.org/W3211333123","https://openalex.org/W4200598427","https://openalex.org/W4214903836","https://openalex.org/W4220754996","https://openalex.org/W4225317694","https://openalex.org/W4297505414","https://openalex.org/W4309938396","https://openalex.org/W4378533064"],"related_works":["https://openalex.org/W4390929683","https://openalex.org/W4389832810","https://openalex.org/W4313561566","https://openalex.org/W4289763776","https://openalex.org/W4281663961","https://openalex.org/W3208888551","https://openalex.org/W3208386644","https://openalex.org/W2983142544","https://openalex.org/W2891059443","https://openalex.org/W2810330923"],"abstract_inverted_index":{"Deep":[0],"learning":[1,39,64,83,106],"theory":[2],"has":[3,47],"made":[4],"remarkable":[5],"advancements":[6],"in":[7,144],"the":[8,25,29,32,42,104,109,123,139,146,158,164],"field":[9],"of":[10,28,34,44,157],"baby":[11],"cry":[12],"recognition,":[13],"significantly":[14],"enhancing":[15],"its":[16],"accuracy.":[17,112],"Nonetheless,":[18],"existing":[19,165],"research":[20],"faces":[21],"two":[22,114],"challenges.":[23],"Firstly,":[24],"limited":[26],"size":[27],"database":[30],"increases":[31],"risk":[33],"overfitting":[35,148],"for":[36,91,133],"a":[37,54,81,86,95,129],"deep":[38,78,130],"model.":[40,84],"Secondly,":[41],"integration":[43],"multi-domain":[45,72],"features":[46,73,79,115,125,156],"been":[48],"neglected.":[49],"To":[50],"address":[51],"these":[52],"issues,":[53],"novel":[55],"approach":[56],"called":[57],"BCRNet":[58,69],"is":[59,89,100,142],"proposed,":[60],"which":[61],"combines":[62],"transfer":[63,82,105],"and":[65,76,94],"feature":[66,92],"fusion.":[67],"The":[68,154],"model":[70,107,141,147],"takes":[71],"as":[74],"input":[75],"extracts":[77],"using":[80,167],"Subsequently,":[85],"multilayer":[87],"autoencoder":[88],"utilized":[90],"reduction,":[93],"Support":[96],"Vector":[97],"Machine":[98],"(SVM)":[99],"employed":[101],"to":[102,118,151],"select":[103],"with":[108],"highest":[110],"classification":[111],"Then":[113],"are":[116,126,161],"concatenated":[117],"form":[119],"fused":[120,124,155],"features.":[121,170],"Finally,":[122],"fed":[127],"into":[128],"neural":[131],"network":[132],"classification.":[134],"Experimental":[135],"results":[136],"show":[137],"that":[138],"proposed":[140,159],"effective":[143],"mitigating":[145],"problem":[149],"due":[150],"small":[152],"datasets.":[153],"method":[160],"better":[162],"than":[163],"methods":[166],"single":[168],"domain":[169]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4388469737","counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-01-19T21:33:45.694001","created_date":"2023-11-08"}