{"id":"https://openalex.org/W2566378066","doi":"https://doi.org/10.1109/eusipco.2016.7760225","title":"Feature selection and model optimization for semi-supervised speaker spotting","display_name":"Feature selection and model optimization for semi-supervised speaker spotting","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2566378066","doi":"https://doi.org/10.1109/eusipco.2016.7760225","mag":"2566378066"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2016.7760225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2016.7760225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th 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/A5004929413","display_name":"Srikanth Raj Chetupalli","orcid":"https://orcid.org/0000-0002-2186-5420"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Srikanth Raj Chetupalli","raw_affiliation_strings":["Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111075264","display_name":"Anand Gopalakrishnan","orcid":null},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anand Gopalakrishnan","raw_affiliation_strings":["Department of Electrical Electronics Engineering, NIT Karnataka, Surathkal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Electronics Engineering, NIT Karnataka, Surathkal","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069425803","display_name":"T.V. Sreenivas","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Thippur V. Sreenivas","raw_affiliation_strings":["Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16368688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"135","last_page":"139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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":0.9994999766349792,"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/T11309","display_name":"Music and Audio Processing","score":0.9865999817848206,"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/spotting","display_name":"Spotting","score":0.7587988972663879},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7399945855140686},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.6760603785514832},{"id":"https://openalex.org/keywords/keyword-spotting","display_name":"Keyword spotting","score":0.6631105542182922},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6336945295333862},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6285073757171631},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6109517812728882},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.5878201723098755},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.573826253414154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5424590110778809},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5361098647117615},{"id":"https://openalex.org/keywords/speaker-identification","display_name":"Speaker identification","score":0.5290578603744507},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5275147557258606},{"id":"https://openalex.org/keywords/speaker-diarisation","display_name":"Speaker diarisation","score":0.5105215311050415},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4986269474029541},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.46833109855651855},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46582385897636414},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4294130206108093},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.4279819428920746},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4168476462364197},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3828352093696594},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14524096250534058}],"concepts":[{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.7587988972663879},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7399945855140686},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.6760603785514832},{"id":"https://openalex.org/C2781213101","wikidata":"https://www.wikidata.org/wiki/Q6398558","display_name":"Keyword spotting","level":2,"score":0.6631105542182922},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6336945295333862},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6285073757171631},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6109517812728882},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.5878201723098755},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.573826253414154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5424590110778809},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5361098647117615},{"id":"https://openalex.org/C2986627078","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker identification","level":3,"score":0.5290578603744507},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5275147557258606},{"id":"https://openalex.org/C149838564","wikidata":"https://www.wikidata.org/wiki/Q7574248","display_name":"Speaker diarisation","level":3,"score":0.5105215311050415},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4986269474029541},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.46833109855651855},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46582385897636414},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4294130206108093},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.4279819428920746},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4168476462364197},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3828352093696594},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14524096250534058},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/eusipco.2016.7760225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2016.7760225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.iisc.ac.in:56264","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196309","display_name":"NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310071","display_name":"Indian Institute of Science","ror":"https://ror.org/04dese585"},{"id":"https://openalex.org/F4320321024","display_name":"Defence Research and Development Organisation","ror":"https://ror.org/05k37v296"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1491541693","https://openalex.org/W1663973292","https://openalex.org/W2041823554","https://openalex.org/W2049633694","https://openalex.org/W2060470839","https://openalex.org/W2071128523","https://openalex.org/W2074394031","https://openalex.org/W2081074144","https://openalex.org/W2097198043","https://openalex.org/W2100969003","https://openalex.org/W2129244720","https://openalex.org/W2148154194","https://openalex.org/W2159591770","https://openalex.org/W3133603318"],"related_works":["https://openalex.org/W2918559346","https://openalex.org/W3119978414","https://openalex.org/W2114097550","https://openalex.org/W2545741539","https://openalex.org/W2516975559","https://openalex.org/W3206647229","https://openalex.org/W4286904253","https://openalex.org/W2000885660","https://openalex.org/W1969408022","https://openalex.org/W1989658893"],"abstract_inverted_index":{"We":[0,98],"explore,":[1],"experimentally,":[2],"feature":[3,93],"selection":[4],"and":[5],"optimization":[6],"of":[7,14,23,25,45,65,90,104,116],"stochastic":[8],"model":[9,30,41,78],"parameters":[10],"for":[11,70],"the":[12,46,71],"problem":[13],"speaker":[15,48,82,107,117],"spotting.":[16],"Based":[17],"on":[18],"an":[19,28],"initially":[20,105],"identified":[21,50,106],"segment":[22,118],"speech":[24,54],"a":[26,37,52,60,74,85],"speaker,":[27],"iterative":[29],"refinement":[31],"method":[32],"is":[33,57,67,109],"developed":[34],"along":[35],"with":[36,62],"latent":[38],"variable":[39],"mixture":[40,77],"so":[42],"that":[43,59,100],"segments":[44],"same":[47],"are":[49],"in":[51,81],"long":[53],"record.":[55],"It":[56],"found":[58],"GMM":[61],"moderate":[63],"number":[64,76],"mixtures":[66],"better":[68,96],"suited":[69],"task":[72],"than":[73],"large":[75],"as":[79],"used":[80],"identification.":[83,119],"Similarly,":[84],"PCA":[86],"based":[87,92],"low-dimensional":[88],"projection":[89],"MFCC":[91],"vector":[94],"provides":[95],"performance.":[97],"show":[99],"about":[101],"6":[102],"seconds":[103],"data":[108],"sufficient":[110],"to":[111],"achieve":[112],">":[113],"90%":[114],"performance":[115]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
