{"id":"https://openalex.org/W1988745938","doi":"https://doi.org/10.1109/icassp.2013.6639011","title":"Adaptive boosted non-uniform mce for keyword spotting on spontaneous speech","display_name":"Adaptive boosted non-uniform mce for keyword spotting on spontaneous speech","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W1988745938","doi":"https://doi.org/10.1109/icassp.2013.6639011","mag":"1988745938"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6639011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5106404246","display_name":"Chao Weng","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chao Weng","raw_affiliation_strings":["Center for Signal and Image Processing, Georgia Institute of Technology, Atlanta, USA","Center for Signal & Image Process, Georgia Inst. of Technol., Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Signal and Image Processing, Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Center for Signal & Image Process, Georgia Inst. of Technol., Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070867959","display_name":"Biing\u2010Hwang Juang","orcid":"https://orcid.org/0000-0002-5773-5679"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Biing-Hwang Juang","raw_affiliation_strings":["Center for Signal and Image Processing, Georgia Institute of Technology, Atlanta, USA","Center for Signal & Image Process, Georgia Inst. of Technol., Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Signal and Image Processing, Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Center for Signal & Image Process, Georgia Inst. of Technol., Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":1.8305,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8642989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"6960","last_page":"6964"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9993000030517578,"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/T12031","display_name":"Speech and dialogue systems","score":0.9966999888420105,"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/keyword-spotting","display_name":"Keyword spotting","score":0.9828729033470154},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8130149245262146},{"id":"https://openalex.org/keywords/spotting","display_name":"Spotting","score":0.7125612497329712},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7021653652191162},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6567975878715515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5552298426628113},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.5071182250976562},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.498856782913208},{"id":"https://openalex.org/keywords/mandarin-chinese","display_name":"Mandarin Chinese","score":0.449310302734375},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4211846590042114},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38158589601516724},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.166517972946167},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13141924142837524}],"concepts":[{"id":"https://openalex.org/C2781213101","wikidata":"https://www.wikidata.org/wiki/Q6398558","display_name":"Keyword spotting","level":2,"score":0.9828729033470154},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8130149245262146},{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.7125612497329712},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7021653652191162},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6567975878715515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5552298426628113},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.5071182250976562},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.498856782913208},{"id":"https://openalex.org/C138954614","wikidata":"https://www.wikidata.org/wiki/Q9192","display_name":"Mandarin Chinese","level":2,"score":0.449310302734375},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4211846590042114},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38158589601516724},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.166517972946167},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13141924142837524},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6639011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1524333225","https://openalex.org/W1589776364","https://openalex.org/W1904457459","https://openalex.org/W1988790447","https://openalex.org/W2063541597","https://openalex.org/W2091544142","https://openalex.org/W2110239393","https://openalex.org/W2112076978","https://openalex.org/W2116022972","https://openalex.org/W2125234026","https://openalex.org/W2132991150","https://openalex.org/W2403311073","https://openalex.org/W6631362777","https://openalex.org/W6635368486","https://openalex.org/W6678457041"],"related_works":["https://openalex.org/W2918559346","https://openalex.org/W3119978414","https://openalex.org/W2114097550","https://openalex.org/W2170821097","https://openalex.org/W2516975559","https://openalex.org/W3206647229","https://openalex.org/W4286904253","https://openalex.org/W2000885660","https://openalex.org/W1969408022","https://openalex.org/W2117995638"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2,51],"we":[3,52,66],"present":[4],"a":[5],"complete":[6],"framework":[7,86],"of":[8,41,118],"discriminative":[9],"training":[10],"using":[11],"non-uniform":[12,19,45],"criteria":[13],"for":[14,24],"keyword":[15,25],"spotting,":[16],"adaptive":[17,69],"boosted":[18],"minimum":[20],"classification":[21],"error":[22,73],"(MCE)":[23],"spotting":[26,34],"on":[27,90],"spontaneous":[28,94],"speech.":[29],"To":[30],"further":[31],"boost":[32],"the":[33,38,44,57,81,107],"performance":[35],"and":[36,104,106,115,125],"tackle":[37],"potential":[39],"issue":[40],"over-training":[42],"in":[43,48,100],"MCE":[46,59],"proposed":[47,85],"our":[49],"prior":[50],"make":[53],"two":[54,91],"improvements":[55],"to":[56,71],"fundamental":[58],"optimization":[60],"procedure.":[61],"Furthermore,":[62],"motivated":[63],"by":[64],"AdaBoost,":[65],"introduce":[67],"an":[68],"scheme":[70],"embed":[72],"cost":[74],"functions":[75],"together":[76],"with":[77],"model":[78],"combinations":[79],"during":[80],"decoding":[82],"stage.":[83],"The":[84],"is":[87],"comprehensively":[88],"validated":[89],"challenging":[92],"large-scale":[93],"conversational":[95],"telephone":[96],"speech":[97],"(CTS)":[98],"tasks":[99],"different":[101],"languages":[102],"(English":[103],"Mandarin)":[105],"experimental":[108],"results":[109],"show":[110],"it":[111],"can":[112],"achieve":[113],"significant":[114],"consistent":[116],"figure":[117],"merit":[119],"(FOM)":[120],"gains":[121],"over":[122],"both":[123],"ML":[124],"discriminatively":[126],"trained":[127],"systems.":[128]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}