{"id":"https://openalex.org/W2789475094","doi":"https://doi.org/10.1109/ialp.2017.8300539","title":"Isolated digit filipino speech recognition through spectrogram image classification: Towards application in a disaster preparedness participatory toolkit","display_name":"Isolated digit filipino speech recognition through spectrogram image classification: Towards application in a disaster preparedness participatory toolkit","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2789475094","doi":"https://doi.org/10.1109/ialp.2017.8300539","mag":"2789475094"},"language":"en","primary_location":{"id":"doi:10.1109/ialp.2017.8300539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp.2017.8300539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Asian Language Processing (IALP)","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/A5061740827","display_name":"Julie Ann A. Salido","orcid":"https://orcid.org/0000-0001-9944-213X"},"institutions":[{"id":"https://openalex.org/I3129531665","display_name":"Aklan State University","ror":"https://ror.org/01bp4wd47","country_code":"PH","type":"education","lineage":["https://openalex.org/I3129531665"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Julie Ann A. Salido","raw_affiliation_strings":["Aklan State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aklan State University","institution_ids":["https://openalex.org/I3129531665"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023236558","display_name":"Nathaniel Oco","orcid":"https://orcid.org/0000-0001-9080-8780"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nathaniel Oco","raw_affiliation_strings":["National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077709014","display_name":"Rachel Edita Roxas","orcid":"https://orcid.org/0000-0003-4450-2224"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rachel Roxas","raw_affiliation_strings":["National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016356508","display_name":"Emmanuel Malaay","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Emmanuel Malaay","raw_affiliation_strings":["National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047104887","display_name":"Michael Simora","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Simora","raw_affiliation_strings":["National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048204946","display_name":"Ronald John Cabatic","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ronald John Cabatic","raw_affiliation_strings":["National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23124006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"51","issue":null,"first_page":"31","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9976999759674072,"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/T11309","display_name":"Music and Audio Processing","score":0.9891999959945679,"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/spectrogram","display_name":"Spectrogram","score":0.8421546220779419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6730544567108154},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5401638150215149},{"id":"https://openalex.org/keywords/preparedness","display_name":"Preparedness","score":0.48532480001449585},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.43125107884407043},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.41212689876556396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39893367886543274},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3886769413948059},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37023407220840454}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.8421546220779419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6730544567108154},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5401638150215149},{"id":"https://openalex.org/C2777042776","wikidata":"https://www.wikidata.org/wiki/Q4583103","display_name":"Preparedness","level":2,"score":0.48532480001449585},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.43125107884407043},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.41212689876556396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39893367886543274},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3886769413948059},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37023407220840454},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp.2017.8300539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp.2017.8300539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W605881680","https://openalex.org/W2061377083","https://openalex.org/W2106822925","https://openalex.org/W2108598243","https://openalex.org/W2128154306","https://openalex.org/W2163605009","https://openalex.org/W2431323835","https://openalex.org/W2610836895","https://openalex.org/W2610844179","https://openalex.org/W2611453718","https://openalex.org/W2619626121","https://openalex.org/W2725868244","https://openalex.org/W2751841560","https://openalex.org/W2788216697","https://openalex.org/W2964190464","https://openalex.org/W3106943575","https://openalex.org/W4239072543","https://openalex.org/W6676297131","https://openalex.org/W6684191040","https://openalex.org/W6686250810","https://openalex.org/W6738917883","https://openalex.org/W6748058393","https://openalex.org/W7009686485"],"related_works":["https://openalex.org/W2530685530","https://openalex.org/W4375868962","https://openalex.org/W2011227383","https://openalex.org/W2088854863","https://openalex.org/W4402568167","https://openalex.org/W3179495260","https://openalex.org/W1976719989","https://openalex.org/W3127543252","https://openalex.org/W2897924318","https://openalex.org/W2138997758"],"abstract_inverted_index":{"In":[0],"this":[1,183],"paper,":[2],"we":[3,29,77,142],"present":[4],"our":[5,73,138,159],"work":[6,66,191],"on":[7,67,79,137,182],"isolated":[8],"digit":[9],"speech":[10,55],"recognition:":[11],"by":[12],"classifying":[13],"spectrogram":[14,152],"images":[15],"and":[16,46,70,91,115,128,141],"for":[17,34,123,126,130],"use":[18],"in":[19,96,147],"a":[20,31,35,59,84],"disaster":[21],"preparedness":[22],"participatory":[23],"toolkit.":[24],"To":[25],"achieve":[26],"higher":[27],"inclusivity,":[28],"included":[30],"voice":[32],"component":[33],"wider":[36],"coverage":[37],"of":[38,86,104,164,174],"respondents":[39],"especially":[40],"those":[41,47],"who":[42],"have":[43],"low":[44],"literacy":[45],"vision":[48],"impaired":[49],"individuals.":[50],"Our":[51,99],"methodology":[52],"is":[53,58,92,161],"through":[54],"recognition":[56],"which":[57,64,178],"deviation":[60],"from":[61,112],"usual":[62],"approaches":[63],"normally":[65],"acoustic":[68],"coefficients":[69],"features.":[71],"As":[72],"initial":[74],"test":[75],"bed,":[76],"focused":[78],"the":[80,87,93,97,105,117,151,165,172,175,186,190],"Filipino":[81,106],"language":[82,89,95],"-":[83],"member":[85],"Malayo-Polynesian":[88],"family":[90],"national":[94],"Philippines.":[98],"data":[100,118,140],"covers":[101],"4,297":[102],"utterances":[103,177],"digits":[107],"0":[108],"to":[109,149,195],"9":[110],"collected":[111],"262":[113],"speakers,":[114],"divided":[116],"into":[119],"3":[120],"parts:":[121],"70%":[122],"training,":[124],"20%":[125],"testing,":[127],"10%":[129],"validation.":[131],"We":[132],"applied":[133],"short-time":[134],"Fourier":[135],"transform":[136],"training":[139],"used":[143],"convolution":[144],"neural":[145],"networks":[146],"MatLab":[148],"classify":[150],"images.":[153],"The":[154],"lowest":[155],"accuracy":[156],"rate":[157],"during":[158],"tests":[160],"93.02%.":[162],"Analyses":[163],"results":[166,187],"show":[167],"that":[168],"background":[169],"noises":[170],"are":[171,188],"cause":[173],"misclassified":[176],"will":[179],"further":[180],"discussed":[181],"paper.":[184],"While":[185],"promising,":[189],"can":[192],"be":[193],"extended":[194],"include":[196],"closely":[197],"related":[198],"languages.":[199]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}