{"id":"https://openalex.org/W2059096319","doi":"https://doi.org/10.1109/ncc.2015.7084831","title":"Linear transformation on speech subspace for analysis of speech under stress condition","display_name":"Linear transformation on speech subspace for analysis of speech under stress condition","publication_year":2015,"publication_date":"2015-02-01","ids":{"openalex":"https://openalex.org/W2059096319","doi":"https://doi.org/10.1109/ncc.2015.7084831","mag":"2059096319"},"language":"en","primary_location":{"id":"doi:10.1109/ncc.2015.7084831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2015.7084831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Twenty First National Conference on Communications (NCC)","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/A5031408366","display_name":"Bhanu Priya","orcid":"https://orcid.org/0000-0003-0161-7654"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Bhanu Priya","raw_affiliation_strings":["Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, India","Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati 781039, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, India","institution_ids":["https://openalex.org/I1317621060"]},{"raw_affiliation_string":"Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati 781039, India","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030663279","display_name":"Samarendra Dandapat","orcid":"https://orcid.org/0000-0002-6467-8713"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Dandapat","raw_affiliation_strings":["Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, India","Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati 781039, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, India","institution_ids":["https://openalex.org/I1317621060"]},{"raw_affiliation_string":"Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati 781039, India","institution_ids":["https://openalex.org/I1317621060"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031408366"],"corresponding_institution_ids":["https://openalex.org/I1317621060"],"apc_list":null,"apc_paid":null,"fwci":2.5887,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.91413991,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9976000189781189,"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":0.9976000189781189,"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":0.996399998664856,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9562000036239624,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/subspace-topology","display_name":"Subspace topology","score":0.8576902747154236},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.767747163772583},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.6375362873077393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6161999106407166},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.5127862095832825},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5126789808273315},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4601675868034363},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4487334191799164},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.420869916677475},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.4183316230773926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39023733139038086},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.0892464816570282},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.04716423153877258}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.8576902747154236},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.767747163772583},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.6375362873077393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6161999106407166},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.5127862095832825},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5126789808273315},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4601675868034363},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4487334191799164},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.420869916677475},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.4183316230773926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39023733139038086},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.0892464816570282},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.04716423153877258},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc.2015.7084831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2015.7084831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Twenty First National Conference on Communications (NCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W612528811","https://openalex.org/W1504737862","https://openalex.org/W1560013842","https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W1975205701","https://openalex.org/W1989263417","https://openalex.org/W2069501481","https://openalex.org/W2080117431","https://openalex.org/W2096503735","https://openalex.org/W2115506669","https://openalex.org/W2120256304","https://openalex.org/W2121892718","https://openalex.org/W2122022287","https://openalex.org/W2123861288","https://openalex.org/W2128081839","https://openalex.org/W2140095548","https://openalex.org/W2140200909","https://openalex.org/W2140793254","https://openalex.org/W2159433378","https://openalex.org/W2170938075","https://openalex.org/W3147438041","https://openalex.org/W6619073351","https://openalex.org/W6629510986","https://openalex.org/W6630109223","https://openalex.org/W6633431331","https://openalex.org/W6680783345"],"related_works":["https://openalex.org/W2153912708","https://openalex.org/W2379264914","https://openalex.org/W2118094278","https://openalex.org/W2639400695","https://openalex.org/W2949173582","https://openalex.org/W4300048032","https://openalex.org/W2089410207","https://openalex.org/W2367577754","https://openalex.org/W2387532542","https://openalex.org/W2362066488"],"abstract_inverted_index":{"In":[0],"this":[1,132],"work,":[2],"a":[3,151],"novel":[4],"approach":[5],"of":[6,18,42,53,66,78,81,90,107,126],"linear":[7,59,99,152,163],"transformation":[8,60,100,164],"on":[9,61,165],"speech":[10,19,34,43,51,55,62,67,91,141,157,160,166,168],"subspace":[11,31,35,68,158],"is":[12,25,29,56,69,102,110,122,148],"used":[13,111,123],"to":[14,71,84,112,176],"preserve":[15],"the":[16,40,86,105,114,129],"properties":[17,41,89],"signal":[20,44],"under":[21,45,95,178],"stress":[22,48,54,96,140,156,180],"condition.":[23,97,181],"It":[24],"assumed":[26],"that,":[27,150],"there":[28],"another":[30],"called":[32],"as":[33,142],"which":[36,109],"exist":[37,154],"and":[38,47,139,159],"contains":[39],"neutral":[46,138],"conditions.":[49],"Therefore,":[50],"component":[52],"determined":[57],"by":[58,136,171],"subspace.":[63,161],"The":[64,98,119],"dimension":[65],"taken":[70],"be":[72],"comparatively":[73],"higher":[74],"than":[75],"original":[76],"length":[77],"feature":[79],"vector":[80],"training":[82,115],"database":[83,116],"capture":[85],"variations":[87],"in":[88,124,131],"signals":[92],"more":[93],"appropriately":[94],"matrix":[101],"estimated":[103],"using":[104],"information":[106,121],"HMM":[108,120],"model":[113],"(neutral":[117],"speech).":[118],"terms":[125],"supervector.":[127],"All":[128],"experiments":[130],"work":[133],"are":[134],"done":[135],"parametrizing":[137],"nonlinear":[143],"(TEO-CB-Auto-Env)":[144],"feature.":[145],"Experimentally":[146],"it":[147],"observed":[149],"relationship":[153],"between":[155],"After":[162],"subspace,":[167],"recognizer":[169],"outperforms":[170],"7.57":[172],"%":[173,175],"(62.14":[174],"69.71%)":[177],"angry":[179]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}