{"id":"https://openalex.org/W2084600654","doi":"https://doi.org/10.1109/ihci.2012.6481824","title":"A novel approach in feature level for robust text-independent speaker identification system","display_name":"A novel approach in feature level for robust text-independent speaker identification system","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2084600654","doi":"https://doi.org/10.1109/ihci.2012.6481824","mag":"2084600654"},"language":"en","primary_location":{"id":"doi:10.1109/ihci.2012.6481824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ihci.2012.6481824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","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/A5083316334","display_name":"Susanta Kumar Sarangi","orcid":"https://orcid.org/0000-0002-0488-0856"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Susanta Kumar Sarangi","raw_affiliation_strings":["Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, India","Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology Kharagpur, India 721302"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology Kharagpur, India 721302","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069790572","display_name":"Goutam Saha","orcid":"https://orcid.org/0000-0001-6187-1684"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Goutam Saha","raw_affiliation_strings":["Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, India","Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology Kharagpur, India 721302"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology Kharagpur, India 721302","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083316334"],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":1.2844,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.83575299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9954000115394592,"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":0.980400025844574,"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/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.8896811008453369},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.785566508769989},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7379699945449829},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.6515434384346008},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.535769522190094},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.5252121090888977},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.5199024081230164},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.4821071922779083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4767416715621948},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4712790846824646},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.46731847524642944},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.418227881193161}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.8896811008453369},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.785566508769989},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7379699945449829},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.6515434384346008},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.535769522190094},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.5252121090888977},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.5199024081230164},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.4821071922779083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4767416715621948},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4712790846824646},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46731847524642944},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.418227881193161},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/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/ihci.2012.6481824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ihci.2012.6481824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5600000023841858,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1963363117","https://openalex.org/W2049633694","https://openalex.org/W2058635784","https://openalex.org/W2062826588","https://openalex.org/W2103869314","https://openalex.org/W2126854862","https://openalex.org/W2129244720","https://openalex.org/W2134383396","https://openalex.org/W2144301583","https://openalex.org/W2148154194","https://openalex.org/W2165308841","https://openalex.org/W2165880886","https://openalex.org/W2987524810","https://openalex.org/W6784830604"],"related_works":["https://openalex.org/W2347413598","https://openalex.org/W2335896301","https://openalex.org/W2330863229","https://openalex.org/W2012393389","https://openalex.org/W2333240621","https://openalex.org/W2137764249","https://openalex.org/W71572444","https://openalex.org/W1997383766","https://openalex.org/W3006618853","https://openalex.org/W2154472250"],"abstract_inverted_index":{"Over":[0],"the":[1,9,16,66,76,79,98,123,146],"decade,":[2],"mel-frequency":[3],"cepstral":[4,49],"coefficient":[5],"(MFCC)":[6],"has":[7],"been":[8],"most":[10],"popular":[11],"feature":[12],"extraction":[13],"method":[14],"in":[15,23,52,127],"field":[17],"of":[18,25,75,78,85,118,121],"automatic":[19],"speaker":[20,27,53,129,156],"recognition.":[21],"But":[22],"case":[24],"robust":[26,155],"recognition":[28,54],"system,":[29],"its":[30],"performance":[31,144],"is":[32,62,93],"good":[33,41],"for":[34,42,154],"white":[35],"noise":[36],"contamination":[37],"but":[38],"not":[39],"as":[40,106],"other":[43],"noises.":[44],"We":[45,112],"introduce":[46],"speech-signal-based":[47],"frequency":[48,59,90,99],"coefficients":[50],"(SFCC)":[51],"domain.":[55],"In":[56],"this":[57],"method,":[58],"warping":[60,91],"function":[61,92],"derived":[63],"directly":[64],"from":[65],"speech":[67,87],"signal":[68],"itself":[69],"by":[70],"considering":[71],"equal":[72],"area":[73],"portions":[74],"logarithm":[77],"ensemble":[80],"average":[81],"short-time":[82],"power":[83],"spectrum":[84],"entire":[86],"corpus.":[88],"Speech-signal-based":[89],"very":[94],"much":[95],"similar":[96],"to":[97,115],"scale":[100,108],"obtained":[101],"through":[102],"psycho-acoustic":[103],"experiments":[104,133],"known":[105],"mel":[107],"and":[109,125],"bark":[110],"scale.":[111],"have":[113],"proposed":[114,140],"use":[116],"combination":[117],"filter":[119],"banks":[120],"both":[122],"MFCC":[124,149],"SFCC":[126,151],"text-independent":[128],"identification.":[130],"Speaker":[131],"identification":[132,157],"are":[134],"performed":[135],"on":[136],"POLY-COST":[137],"database.":[138],"The":[139],"technique":[141],"gives":[142],"better":[143],"than":[145],"single":[147],"streamed":[148],"or":[150],"based":[152],"features":[153],"system.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}