{"id":"https://openalex.org/W2939896996","doi":"https://doi.org/10.1109/icassp.2019.8682477","title":"Analyzing Human Reaction Time for Talker Change Detection","display_name":"Analyzing Human Reaction Time for Talker Change Detection","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2939896996","doi":"https://doi.org/10.1109/icassp.2019.8682477","mag":"2939896996"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8682477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5060073771","display_name":"Neeraj Kumar Sharma","orcid":"https://orcid.org/0000-0002-6391-7532"},"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":"Neeraj Sharma","raw_affiliation_strings":["Indian Institute of Science, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111737938","display_name":"Shobhana Ganesh","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":"Shobhana Ganesh","raw_affiliation_strings":["Indian Institute of Science, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002536077","display_name":"Sriram Ganapathy","orcid":"https://orcid.org/0000-0002-5779-9066"},"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":"Sriram Ganapathy","raw_affiliation_strings":["Indian Institute of Science, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008886006","display_name":"Lori L. Holt","orcid":"https://orcid.org/0000-0002-8732-4977"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lori L. Holt","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1093,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35517914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"7135","last_page":"7139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9994000196456909,"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":0.9994000196456909,"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/T10403","display_name":"Phonetics and Phonology Research","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/active-listening","display_name":"Active listening","score":0.7638258934020996},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7358313202857971},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.705281138420105},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.6593331694602966},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.636311411857605},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5295363664627075},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5145096778869629},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49745967984199524},{"id":"https://openalex.org/keywords/speaker-diarisation","display_name":"Speaker diarisation","score":0.44453275203704834},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4161073863506317},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3223886787891388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31697311997413635},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.31479185819625854},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.3005557060241699},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13163277506828308},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.07322847843170166},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07294878363609314}],"concepts":[{"id":"https://openalex.org/C177291462","wikidata":"https://www.wikidata.org/wiki/Q423038","display_name":"Active listening","level":2,"score":0.7638258934020996},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7358313202857971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.705281138420105},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.6593331694602966},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.636311411857605},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5295363664627075},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5145096778869629},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49745967984199524},{"id":"https://openalex.org/C149838564","wikidata":"https://www.wikidata.org/wiki/Q7574248","display_name":"Speaker diarisation","level":3,"score":0.44453275203704834},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4161073863506317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3223886787891388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31697311997413635},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.31479185819625854},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.3005557060241699},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13163277506828308},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.07322847843170166},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07294878363609314},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2019.8682477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai::78382","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401702","display_name":"Universitas Pasundan institutional repositories & scientific journals (Universitas Pasundan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210159629","host_organization_name":"Universitas Pasundan","host_organization_lineage":["https://openalex.org/I4210159629"],"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 Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1494198834","https://openalex.org/W1524333225","https://openalex.org/W1903378096","https://openalex.org/W1965819578","https://openalex.org/W2003410729","https://openalex.org/W2018378747","https://openalex.org/W2019235525","https://openalex.org/W2023582132","https://openalex.org/W2077226865","https://openalex.org/W2085470777","https://openalex.org/W2088443227","https://openalex.org/W2089663426","https://openalex.org/W2125482195","https://openalex.org/W2134175680","https://openalex.org/W2295300449","https://openalex.org/W2475327816","https://openalex.org/W2549244598","https://openalex.org/W2593171298","https://openalex.org/W2811467564","https://openalex.org/W2908723207","https://openalex.org/W2911964244","https://openalex.org/W6631362777","https://openalex.org/W6696886941"],"related_works":["https://openalex.org/W1963976507","https://openalex.org/W2206035908","https://openalex.org/W3119288895","https://openalex.org/W2149220986","https://openalex.org/W2185075503","https://openalex.org/W4247736853","https://openalex.org/W2162158162","https://openalex.org/W1493012537","https://openalex.org/W1999004162","https://openalex.org/W2175373321"],"abstract_inverted_index":{"The":[0,115],"ability":[1,21],"to":[2,22,28,40,58,106,191],"detect":[3,48],"a":[4,49,60,64,124,146,148,169,172,187],"change":[5,50,82,90,166],"in":[6,51,73,83,134],"the":[7,54,77,95,108,132,165,177,192],"input":[8],"is":[9,71,104,121],"an":[10],"essential":[11],"aspect":[12],"of":[13,79,137,151,160,180],"perception.":[14],"In":[15,35],"speech":[16,30,85,161],"communication,":[17],"we":[18,38],"use":[19],"this":[20,36],"identify":[23,59],"\"talker":[24],"changes\"":[25],"when":[26],"listening":[27,69],"conversational":[29],"(such":[31],"as,":[32],"audio":[33],"podcasts).":[34],"paper,":[37],"propose":[39],"improve":[41],"our":[42],"understanding":[43],"about":[44],"how":[45],"fast":[46],"listeners":[47,75],"talker,":[52],"and":[53,112,140,143,163],"acoustic":[55,113,135],"features":[56,136,157],"tracked":[57],"voice":[61],"by":[62,93],"designing":[63],"novel":[65],"experimental":[66],"paradigm.":[67],"A":[68,100],"experiment":[70],"designed":[72,175],"which":[74],"indicate":[76],"moment":[78],"perceived":[80],"talker":[81,89],"multi-talker":[84],"utterances.":[86],"We":[87],"examine":[88],"detection":[91],"performance":[92,189],"probing":[94],"human":[96],"reaction":[97],"time":[98],"(RT).":[99],"random":[101],"forest":[102],"regression":[103],"used":[105],"model":[107],"relationship":[109],"between":[110,158],"RTs":[111],"features.":[114],"findings":[116],"suggest":[117],"that:":[118],"(i)":[119],"RT":[120,127,152],"less":[122],"than":[123],"second,":[125],"(ii)":[126],"can":[128],"be":[129],"predicted":[130],"from":[131],"difference":[133],"segment":[138],"before":[139,162],"after":[141,164],"change,":[142],"(iii)":[144],"there":[145],"exists":[147],"significant":[149],"dependence":[150],"on":[153],"MFCC-D1":[154],"(delta":[155],"MFCCs)":[156],"segments":[159],"instant.":[167],"Further,":[168],"comparison":[170],"with":[171],"machine":[173],"system":[174],"for":[176],"same":[178],"task":[179],"TCD":[181],"using":[182],"speaker":[183],"diarization":[184],"principles":[185],"showed":[186],"poor":[188],"relative":[190],"humans.":[193]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
