{"id":"https://openalex.org/W2902761001","doi":"https://doi.org/10.23919/eusipco.2018.8553135","title":"Infant Cry Detection in Adverse Acoustic Environments by Using Deep Neural Networks","display_name":"Infant Cry Detection in Adverse Acoustic Environments by Using Deep Neural Networks","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2902761001","doi":"https://doi.org/10.23919/eusipco.2018.8553135","mag":"2902761001"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2018.8553135","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","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/A5042006180","display_name":"Daniele Ferretti","orcid":null},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Daniele Ferretti","raw_affiliation_strings":["Department of Information Engineering, Universit\u00e0 Politecnica delle Marche, Ancona, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Universit\u00e0 Politecnica delle Marche, Ancona, Italy","institution_ids":["https://openalex.org/I122534668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072312851","display_name":"Marco Severini","orcid":null},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Severini","raw_affiliation_strings":["Department of Information Engineering, Universit\u00e0 Politecnica delle Marche, Ancona, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Universit\u00e0 Politecnica delle Marche, Ancona, Italy","institution_ids":["https://openalex.org/I122534668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004777557","display_name":"Emanuele Principi","orcid":"https://orcid.org/0000-0002-2835-7277"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Emanuele Principi","raw_affiliation_strings":["Department of Information Engineering, Universit\u00e0 Politecnica delle Marche, Ancona, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Universit\u00e0 Politecnica delle Marche, Ancona, Italy","institution_ids":["https://openalex.org/I122534668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012837974","display_name":"Annalisa Cenci","orcid":null},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Annalisa Cenci","raw_affiliation_strings":["Department of Information Engineering, Universit\u00e0 Politecnica delle Marche, Ancona, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Universit\u00e0 Politecnica delle Marche, Ancona, Italy","institution_ids":["https://openalex.org/I122534668"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034253968","display_name":"Stefano Squartini","orcid":"https://orcid.org/0000-0001-9374-0128"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Squartini","raw_affiliation_strings":["Department of Information Engineering, Universit\u00e0 Politecnica delle Marche, Ancona, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Universit\u00e0 Politecnica delle Marche, Ancona, Italy","institution_ids":["https://openalex.org/I122534668"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042006180"],"corresponding_institution_ids":["https://openalex.org/I122534668"],"apc_list":null,"apc_paid":null,"fwci":5.0066,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.95468278,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"992","last_page":"996"},"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":0.9950000047683716,"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":0.9835000038146973,"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":0.7350035309791565},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6027644276618958},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5767289400100708},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5488076210021973},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5064984560012817},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5054559707641602},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4961589276790619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4674668610095978},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.46494996547698975},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3585421144962311},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3215790390968323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1093808114528656},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09898445010185242}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7350035309791565},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6027644276618958},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5767289400100708},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5488076210021973},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5064984560012817},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5054559707641602},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4961589276790619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4674668610095978},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.46494996547698975},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3585421144962311},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3215790390968323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1093808114528656},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09898445010185242},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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:10.23919/eusipco.2018.8553135","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W167456299","https://openalex.org/W1510423795","https://openalex.org/W1966959048","https://openalex.org/W1979173241","https://openalex.org/W1979852409","https://openalex.org/W1999699276","https://openalex.org/W2115717467","https://openalex.org/W2137300673","https://openalex.org/W2218430674","https://openalex.org/W2259135914","https://openalex.org/W2343389358","https://openalex.org/W2407005679","https://openalex.org/W2508661620","https://openalex.org/W2612370858","https://openalex.org/W2741049562","https://openalex.org/W2751926801","https://openalex.org/W2786834204","https://openalex.org/W2992735308","https://openalex.org/W3121328487","https://openalex.org/W6606853551","https://openalex.org/W6771008357"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W2366906938","https://openalex.org/W4285230481","https://openalex.org/W3208095355","https://openalex.org/W4385769873","https://openalex.org/W2015759683","https://openalex.org/W4281634296","https://openalex.org/W4319161863","https://openalex.org/W2371687270"],"abstract_inverted_index":{"The":[0,65,100,160],"amount":[1],"of":[2,17,79,98],"time":[3],"an":[4,56,80,86],"infant":[5,60],"cries":[6,61,142],"in":[7,14,32,62,144,156],"a":[8,25,69,122,139,145,157,166],"day":[9],"helps":[10],"the":[11,15,74,96,104,132,136,154,179,183],"medical":[12,46],"staff":[13],"evaluation":[16],"his/her":[18],"health":[19],"conditions.":[20],"Extracting":[21],"this":[22],"information":[23],"requires":[24],"cry":[26,110],"detection":[27,72,172,188],"algorithm":[28,57,161],"able":[29],"to":[30,165],"operate":[31],"environments":[33],"with":[34],"challenging":[35],"acoustic":[36],"conditions,":[37],"since":[38],"multiple":[39,70],"noise":[40],"sources,":[41],"such":[42,63],"as":[43,116],"interferent":[44],"cries,":[45],"equipments,":[47],"and":[48,134,178,194],"persons":[49],"may":[50],"be":[51],"present.":[52],"This":[53],"paper":[54],"proposes":[55],"for":[58,94,130,152,169],"detecting":[59],"environments.":[64],"proposed":[66,184],"solution":[67,185],"is":[68,77,103],"stage":[71,76,102],"algorithm:":[73],"first":[75],"composed":[78],"eight-channel":[81],"filter-and-sum":[82],"beamformer,":[83],"followed":[84],"by":[85],"Optimally":[87],"Modified":[88],"Log-Spectral":[89],"Amplitude":[90],"estimator":[91],"(OMLSA)":[92],"post-filter":[93],"reducing":[95],"effect":[97],"interferences.":[99],"second":[101],"Deep":[105],"Neural":[106],"Network":[107],"(DNN)":[108],"based":[109,173],"detector,":[111],"having":[112],"audio":[113],"Log-Mel":[114],"features":[115],"inputs.":[117],"A":[118],"synthetic":[119,192],"dataset":[120,140],"mimicking":[121],"real":[123,146,158,196],"neonatal":[124],"hospital":[125],"scenario":[126],"has":[127,149,162],"been":[128,150,163],"created":[129],"training":[131],"network":[133],"evaluating":[135],"performance.":[137],"Additionally,":[138],"containing":[141],"acquired":[143],"neonatology":[147],"department":[148],"used":[151],"assessing":[153],"performance":[155,189],"scenario.":[159],"compared":[164],"popular":[167],"approach":[168],"voice":[170],"activity":[171],"on":[174,191,195],"Long-Term":[175],"Spectral":[176],"Divergence,":[177],"results":[180],"show":[181],"that":[182],"achieves":[186],"superior":[187],"both":[190],"data":[193],"data.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}