{"id":"https://openalex.org/W188247790","doi":"https://doi.org/10.21437/interspeech.2005-124","title":"A study on separation between acoustic models and its applications","display_name":"A study on separation between acoustic models and its applications","publication_year":2005,"publication_date":"2005-09-04","ids":{"openalex":"https://openalex.org/W188247790","doi":"https://doi.org/10.21437/interspeech.2005-124","mag":"188247790"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2005-124","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2005-124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2005","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/A5044008055","display_name":"Yu Tsao","orcid":"https://orcid.org/0000-0001-6956-0418"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yu Tsao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102154547","display_name":"LI Jin-yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinyu Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5066868860","display_name":"Chin\u2010Hui Lee","orcid":"https://orcid.org/0000-0002-1892-2551"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chin-Hui Lee","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044008055"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6325,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.89994992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1109","last_page":"1112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9980000257492065,"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/computer-science","display_name":"Computer science","score":0.7267781496047974},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.6890655755996704},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6509923934936523},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6253024935722351},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.5479831099510193},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5477596521377563},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4771575331687927},{"id":"https://openalex.org/keywords/acoustic-model","display_name":"Acoustic model","score":0.4695100486278534},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.45947590470314026},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.45903846621513367},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4516805410385132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43391352891921997},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3726668357849121},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.34579965472221375},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28540775179862976},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18221652507781982}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7267781496047974},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.6890655755996704},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6509923934936523},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6253024935722351},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.5479831099510193},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5477596521377563},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4771575331687927},{"id":"https://openalex.org/C155635449","wikidata":"https://www.wikidata.org/wiki/Q4674699","display_name":"Acoustic model","level":3,"score":0.4695100486278534},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.45947590470314026},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.45903846621513367},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4516805410385132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43391352891921997},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3726668357849121},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.34579965472221375},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28540775179862976},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18221652507781982},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2005-124","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2005-124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2005","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W46190896","https://openalex.org/W1559678887","https://openalex.org/W2002087363","https://openalex.org/W2011077222","https://openalex.org/W2086267546","https://openalex.org/W2097685957","https://openalex.org/W2110467295","https://openalex.org/W2115415333","https://openalex.org/W2125838338","https://openalex.org/W2158289097","https://openalex.org/W2619993508","https://openalex.org/W2952387069","https://openalex.org/W3127686677"],"related_works":["https://openalex.org/W2545529375","https://openalex.org/W2735380212","https://openalex.org/W2992378684","https://openalex.org/W2964829415","https://openalex.org/W642007152","https://openalex.org/W2122233706","https://openalex.org/W2105439218","https://openalex.org/W3143423642","https://openalex.org/W2131711534","https://openalex.org/W2541627266"],"abstract_inverted_index":{"We":[0,76,114],"study":[1],"separation":[2,12,61],"between":[3,62],"models":[4,26,71,84,139],"of":[5,11,19,23,38,65,72,89,95,137],"speech":[6,25,39,68,112,144],"attributes.":[7,75],"A":[8],"good":[9,128],"measure":[10,59],"usually":[13],"serves":[14],"as":[15],"a":[16,49,63,66,127],"key":[17],"indicator":[18],"the":[20,36,60,117,135],"discrimination":[21,90],"power":[22],"these":[24],"because":[27],"it":[28],"can":[29],"often":[30],"be":[31],"used":[32],"to":[33,58,80,130],"indirectly":[34],"determine":[35],"performance":[37],"recognition":[40,145],"and":[41,70,98,103,106,111,121,132,146],"verification":[42,147],"systems.":[43],"In":[44],"this":[45],"study,":[46],"we":[47],"use":[48],"probabilistic":[50],"distance,":[51],"called":[52],"generalized":[53],"log":[54],"likelihood":[55],"ratio":[56],"(GLLR),":[57],"model":[64],"target":[67],"attribute":[69],"its":[73,122],"competing":[74],"illustrate":[77],"five":[78],"applications":[79],"compare":[81],"separations":[82],"among":[83],"obtained":[85],"over":[86],"multiple":[87],"levels":[88],"capabilities,":[91],"at":[92],"various":[93],"degrees":[94],"acoustic":[96],"definitions":[97],"resolutions,":[99],"under":[100],"mismatched":[101],"training":[102,109],"testing":[104],"conditions,":[105],"with":[107],"different":[108],"criteria":[110],"parameters.":[113],"demonstrate":[115],"that":[116],"well-known":[118],"GLLR":[119],"distance":[120],"corresponding":[123],"histograms":[124],"also":[125],"provide":[126],"utility":[129],"qualitatively":[131],"quantitatively":[133],"characterize":[134],"properties":[136],"trained":[138],"without":[140],"performing":[141],"large":[142],"scale":[143],"experiments.":[148]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
