{"id":"https://openalex.org/W2919159427","doi":"https://doi.org/10.1109/tencon.2018.8650279","title":"Automatic Speaker Recognition using Stationary Wavelet Coefficients of LP Residual","display_name":"Automatic Speaker Recognition using Stationary Wavelet Coefficients of LP Residual","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2919159427","doi":"https://doi.org/10.1109/tencon.2018.8650279","mag":"2919159427"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2018.8650279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650279","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","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/A5109637670","display_name":"V. Sreehari","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"V. R. Sreehari","raw_affiliation_strings":["Department of Electronics and Communication Engineering, College of Engineering, Trivandrum, Kerala, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, College of Engineering, Trivandrum, Kerala, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102771676","display_name":"Leena Mary","orcid":"https://orcid.org/0000-0002-0080-0177"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leena Mary","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Goverment Engineering College, Idukki, Kerala, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Goverment Engineering College, Idukki, Kerala, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109637670"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3303,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.59689717,"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":"1595","last_page":"1600"},"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":0.9995999932289124,"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":0.9962000250816345,"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/speech-recognition","display_name":"Speech recognition","score":0.8014960289001465},{"id":"https://openalex.org/keywords/nist","display_name":"NIST","score":0.7857335805892944},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7296836376190186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6646965742111206},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.6529980897903442},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5785949230194092},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.5772842764854431},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5403201580047607},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5176640152931213},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5081706047058105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5050886273384094},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.4733569622039795},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4326178729534149},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17684543132781982}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.8014960289001465},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.7857335805892944},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7296836376190186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6646965742111206},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.6529980897903442},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5785949230194092},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5772842764854431},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5403201580047607},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5176640152931213},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5081706047058105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5050886273384094},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.4733569622039795},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4326178729534149},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17684543132781982},{"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/tencon.2018.8650279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650279","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332178","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416"},{"id":"https://openalex.org/F4320335111","display_name":"Kerala State Council for Science, Technology and Environment","ror":"https://ror.org/030fy4q75"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W67277430","https://openalex.org/W2006384862","https://openalex.org/W2041035247","https://openalex.org/W2090732533","https://openalex.org/W2097470427","https://openalex.org/W2103075368","https://openalex.org/W2112164460","https://openalex.org/W2127672898","https://openalex.org/W2131703294","https://openalex.org/W2138173536","https://openalex.org/W2138324695","https://openalex.org/W2141493634","https://openalex.org/W2154278880","https://openalex.org/W2160511961","https://openalex.org/W2161471225","https://openalex.org/W2319316830","https://openalex.org/W2751695221","https://openalex.org/W2790760353","https://openalex.org/W4255272544","https://openalex.org/W6683497447","https://openalex.org/W6743484311"],"related_works":["https://openalex.org/W2085792030","https://openalex.org/W1918078477","https://openalex.org/W1588899229","https://openalex.org/W1577789985","https://openalex.org/W2047056993","https://openalex.org/W2390482320","https://openalex.org/W2792520941","https://openalex.org/W1970278134","https://openalex.org/W2112061901","https://openalex.org/W1994967090"],"abstract_inverted_index":{"Automatic":[0],"speaker":[1,47,80],"recognition":[2,81],"is":[3,53,87],"a":[4,18,38],"challenging":[5],"task":[6,97],"when":[7],"the":[8,11,85,110],"duration":[9],"of":[10,50,71,84,98,116],"speech":[12,25],"utterances":[13,26],"are":[14,27,73],"very":[15],"short":[16],"ie.,":[17],"few":[19],"seconds.":[20],"Source":[21],"features":[22],"extracted":[23],"from":[24,68,105],"shown":[28],"to":[29],"be":[30],"effective":[31],"for":[32,44,75,89],"such":[33],"cases.":[34],"This":[35],"paper":[36],"proposes":[37],"system":[39,86],"based":[40,79],"on":[41],"LP":[42,51],"residual":[43,52],"text":[45],"independent":[46],"recognition.":[48],"Parameterization":[49],"attempted":[54],"here":[55],"using":[56],"Discrete":[57],"Wavelet":[58,63],"Transform":[59,64],"(DWT)":[60],"and":[61],"Stationary":[62],"(SWT).":[65],"Feature":[66],"obtained":[67,104],"different":[69],"levels":[70],"decomposition":[72,108],"used":[74],"implementing":[76],"an":[77],"i-vector/PLDA":[78],"system.":[82],"Effectiveness":[83],"evaluated":[88],"10":[90,94],"sec":[91,95],"training":[92],"-":[93],"testing":[96],"NIST":[99],"SRE":[100],"2010":[101],"database.":[102],"Features":[103],"SWT":[106],"level-2":[107],"gives":[109],"lowest":[111],"Equal":[112],"Error":[113],"Rate":[114],"(EER)":[115],"39.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}