{"id":"https://openalex.org/W145948334","doi":null,"title":"Emotion based Speaker Recognition with Vector Quantization","display_name":"Emotion based Speaker Recognition with Vector Quantization","publication_year":2014,"publication_date":"2014-05-21","ids":{"openalex":"https://openalex.org/W145948334","mag":"145948334"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.663.6343","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.663.6343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.ijcaonline.org/iconect/number1/iconect1408.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5045703861","display_name":"Shraddha Bhandavle","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shraddha Bhandavle","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060628844","display_name":"Rasika Inamdar","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rasika Inamdar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5029496328","display_name":"Aarti Bakshi","orcid":"https://orcid.org/0000-0002-5784-3696","observed_orcids":["https://orcid.org/0000-0002-5784-3696"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aarti Bakshi","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-5784-3696","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.00737931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":92},"biblio":{"volume":null,"issue":"1","first_page":"9","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.8393999934196472,"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":0.8393999934196472,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.1462000012397766,"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":0.0038999998942017555,"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/vector-quantization","display_name":"vector quantization","score":0.8360000252723694},{"id":"https://openalex.org/keywords/mel-frequency-cepstral-coefficients","display_name":"Mel-frequency cepstral coefficients","score":0.8629999756813049},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"K-means clustering","score":0.8199999928474426},{"id":"https://openalex.org/keywords/voice-biometrics","display_name":"voice biometrics","score":0.8980000019073486},{"id":"https://openalex.org/keywords/pitch","display_name":"pitch","score":0.5389999747276306},{"id":"https://openalex.org/keywords/speech-style","display_name":"speech style","score":0.765999972820282},{"id":"https://openalex.org/keywords/vocal-intensity","display_name":"vocal intensity","score":0.6209999918937683}],"concepts":[{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.7950066924095154},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7553091049194336},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.7180618047714233},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.6450164318084717},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5946935415267944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5541967153549194},{"id":"https://openalex.org/C149838564","wikidata":"https://www.wikidata.org/wiki/Q7574248","display_name":"Speaker diarisation","level":3,"score":0.5399380326271057},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5242757201194763},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.49775436520576477},{"id":"https://openalex.org/C122980154","wikidata":"https://www.wikidata.org/wiki/Q205555","display_name":"Feeling","level":2,"score":0.4643137454986572},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.37874919176101685},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35437721014022827},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.32081902027130127},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.11147865653038025}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.663.6343","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.663.6343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.ijcaonline.org/iconect/number1/iconect1408.pdf","raw_type":"text"},{"id":"mag:145948334","doi":null,"is_oa":false,"landing_page_url":"https://research.ijcaonline.org/iconect/number1/iconect1408.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W170282027","https://openalex.org/W2061068689","https://openalex.org/W2137639365","https://openalex.org/W2140801466","https://openalex.org/W2158705122","https://openalex.org/W2224914820","https://openalex.org/W2396589722","https://openalex.org/W2620275798"],"related_works":["https://openalex.org/W50951727","https://openalex.org/W2148074630","https://openalex.org/W2521092864","https://openalex.org/W2060789910","https://openalex.org/W2331799610","https://openalex.org/W2983711888","https://openalex.org/W3203878336","https://openalex.org/W2034007856","https://openalex.org/W4377699784","https://openalex.org/W7100977135"],"abstract_inverted_index":{"Speech":[0],"is":[1,13,61],"a":[2,14,17,21,66],"most":[3],"popular":[4],"biometrics":[5],"nowadays":[6],"used":[7,92],"for":[8],"human":[9],"interaction.":[10],"An":[11,41],"emotion":[12,42],"mental":[15],"and":[16,39],"physiological":[18],"state":[19],"of":[20,37],"person.":[22],"Emotion":[23],"Based":[24],"Speaker":[25],"Recognition":[26],"has":[27],"attracted":[28],"many":[29],"researchers.":[30],"Emotions":[31],"are":[32,74],"associated":[33],"with":[34],"the":[35,48,62,76,84,87,93],"variety":[36],"feelings":[38],"thoughts.":[40],"based":[43,78],"speaker":[44,67],"recognition":[45,68],"system,":[46],"recognizes":[47],"person\u2019s":[49],"emotionsbased":[50],"on":[51],"pitch,":[52],"speaking":[53],"style,":[54],"intensity,":[55],"sampling":[56],"frequency.":[57],"Mel":[58],"frequency":[59],"CepstralCoefficient":[60],"first":[63],"step":[64],"in":[65],"system.":[69],"In":[70],"this":[71],"paper,":[72],"we":[73,90],"implementing":[75],"gender-":[77],"modified":[79],"MFCC":[80],"approach":[81],"to":[82],"differentiate":[83],"individuals.":[85],"For":[86],"classification":[88],"purpose":[89],"have":[91],"K-means":[94],"algorithm.":[95],"KEYWORDS:":[96]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2016-06-24T00:00:00"}
