{"id":"https://openalex.org/W3012135827","doi":"https://doi.org/10.1109/ccwc47524.2020.9031223","title":"Houston Toad and Other Chorusing Amphibian Species Call Detection Using Deep Learning Architectures","display_name":"Houston Toad and Other Chorusing Amphibian Species Call Detection Using Deep Learning Architectures","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3012135827","doi":"https://doi.org/10.1109/ccwc47524.2020.9031223","mag":"3012135827"},"language":"en","primary_location":{"id":"doi:10.1109/ccwc47524.2020.9031223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc47524.2020.9031223","pdf_url":null,"source":{"id":"https://openalex.org/S4306498584","display_name":"2020 10th Annual Computing and Communication Workshop and Conference (CCWC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 10th Annual Computing and Communication Workshop and Conference (CCWC)","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/A5024115024","display_name":"Shafinaz Islam","orcid":null},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shafinaz Islam","raw_affiliation_strings":["Ingram School of Engineering, Texas State University, San Marcos, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ingram School of Engineering, Texas State University, San Marcos, Texas, USA","institution_ids":["https://openalex.org/I13511017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071972698","display_name":"Damian Valles","orcid":"https://orcid.org/0000-0002-5684-9498"},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Damian Valles","raw_affiliation_strings":["Ingram School of Engineering, Texas State University, San Marcos, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ingram School of Engineering, Texas State University, San Marcos, Texas, USA","institution_ids":["https://openalex.org/I13511017"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I13511017"],"apc_list":null,"apc_paid":null,"fwci":1.5699,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79166667,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"0511","last_page":"0516"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9947999715805054,"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":0.9797999858856201,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/toad","display_name":"Toad","score":0.8913136720657349},{"id":"https://openalex.org/keywords/amphibian","display_name":"Amphibian","score":0.7036401033401489},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.601685643196106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5171718001365662},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5121362209320068},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.47717371582984924},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4498160183429718},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.41011035442352295},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.357547402381897},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.33936628699302673},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2844446003437042},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.23365476727485657}],"concepts":[{"id":"https://openalex.org/C2778166480","wikidata":"https://www.wikidata.org/wiki/Q6453151","display_name":"Toad","level":2,"score":0.8913136720657349},{"id":"https://openalex.org/C2781465898","wikidata":"https://www.wikidata.org/wiki/Q10908","display_name":"Amphibian","level":2,"score":0.7036401033401489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.601685643196106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5171718001365662},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5121362209320068},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.47717371582984924},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4498160183429718},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.41011035442352295},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.357547402381897},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.33936628699302673},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2844446003437042},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.23365476727485657}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccwc47524.2020.9031223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc47524.2020.9031223","pdf_url":null,"source":{"id":"https://openalex.org/S4306498584","display_name":"2020 10th Annual Computing and Communication Workshop and Conference (CCWC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 10th Annual Computing and Communication Workshop and Conference (CCWC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1183662111","https://openalex.org/W1583001605","https://openalex.org/W2107990538","https://openalex.org/W2341412280","https://openalex.org/W2398826216","https://openalex.org/W2575145750","https://openalex.org/W2592944988","https://openalex.org/W2613376785","https://openalex.org/W2645805216","https://openalex.org/W2899310036","https://openalex.org/W2911094259","https://openalex.org/W2973051236"],"related_works":["https://openalex.org/W2530685530","https://openalex.org/W4375868962","https://openalex.org/W2011227383","https://openalex.org/W2088854863","https://openalex.org/W3179495260","https://openalex.org/W1976719989","https://openalex.org/W2942893872","https://openalex.org/W3127543252","https://openalex.org/W207593326","https://openalex.org/W2410615232"],"abstract_inverted_index":{"The":[0,22,48],"preservation":[1],"of":[2,17,31,179,205],"species":[3,79],"from":[4,11],"extinction":[5],"using":[6],"automatic":[7],"animal":[8],"voice":[9],"detection":[10],"audio":[12,162],"recordings":[13],"is":[14,25,55,80],"a":[15,42,78,82,87,92,102,116,193],"topic":[16],"high":[18,111],"interest":[19],"in":[20],"bioacoustics.":[21],"Houston":[23,65,83,93,103,125],"Toad":[24,66,84,139],"an":[26,173],"endangered":[27],"amphibian":[28],"and":[29,136,171],"researchers":[30,54],"the":[32,53,64,96,106,124,129,137,177,180,206],"Biology":[33],"Department":[34],"at":[35],"Texas":[36],"State":[37],"University":[38],"are":[39],"working":[40],"on":[41],"project":[43],"to":[44,91,120,175],"rescue":[45],"this":[46],"species.":[47],"initial":[49],"approach":[50],"used":[51],"by":[52],"called":[56],"Automated":[57],"Recording":[58],"Device":[59],"(ARD)":[60],"that":[61],"only":[62,123],"detects":[63],"calls.":[67,76],"However,":[68],"it":[69,100],"has":[70,86],"shown":[71],"limited":[72],"success":[73],"identifying":[74],"toad":[75,181],"If":[77],"not":[81,122],"but":[85,127],"frequency":[88],"spectrum":[89],"close":[90],"Toad,":[94,126,132],"then":[95],"ARD":[97,108,118],"falsely":[98],"identifies":[99],"as":[101,165],"Toad.":[104],"Hence,":[105],"current":[107],"solution":[109,119],"produces":[110],"false-positives.":[112],"This":[113,189],"paper":[114],"proposes":[115,192],"modified":[117],"detect":[121],"also":[128,191],"Gulf":[130],"Coast":[131],"ther":[133],"Crawfish":[134],"Frog,":[135],"Woodhouse's":[138],"experimenting":[140],"deep":[141],"learning":[142],"architectures:":[143],"Recurrent":[144,157],"Neural":[145],"Network":[146],"(RNN),":[147],"Convolutional":[148],"neural":[149],"network":[150],"(CNN),":[151],"Long":[152],"Short-Term":[153],"Memory":[154],"(LSTM),":[155],"Gated":[156],"Units":[158],"(GRUs)":[159],"with":[160,185],"dominating":[161],"features":[163],"such":[164],"MFCC,":[166],"LPC,":[167],"PLP,":[168],"Mel-Filterbanks,":[169],"Spectrogram":[170],"takes":[172],"attempt":[174],"improve":[176],"performance":[178],"calls":[182],"identification":[183],"system":[184],"reduced":[186],"false-postive":[187],"rate.":[188],"work":[190],"new":[194],"single":[195],"board":[196],"computing":[197],"platform":[198],"NVIDIA":[199],"Jetson":[200],"Nano":[201],"for":[202],"on-filed":[203],"deployment":[204],"model.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}