{"id":"https://openalex.org/W2945925916","doi":"https://doi.org/10.1109/les.2019.2915953","title":"Low Power Speaker Identification by Integrated Clustering and Gaussian Mixture Model Scoring","display_name":"Low Power Speaker Identification by Integrated Clustering and Gaussian Mixture Model Scoring","publication_year":2019,"publication_date":"2019-05-16","ids":{"openalex":"https://openalex.org/W2945925916","doi":"https://doi.org/10.1109/les.2019.2915953","mag":"2945925916"},"language":"en","primary_location":{"id":"doi:10.1109/les.2019.2915953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/les.2019.2915953","pdf_url":null,"source":{"id":"https://openalex.org/S22443479","display_name":"IEEE Embedded Systems Letters","issn_l":"1943-0663","issn":["1943-0663","1943-0671"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Embedded Systems Letters","raw_type":"journal-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/A5019316243","display_name":"Nick Iliev","orcid":"https://orcid.org/0000-0001-9645-3810"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nick Iliev","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, USA"],"raw_orcid":"https://orcid.org/0000-0001-9645-3810","affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080185108","display_name":"Alberto Gianelli","orcid":"https://orcid.org/0000-0001-7725-1332"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alberto Gianelli","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, USA"],"raw_orcid":"https://orcid.org/0000-0001-7725-1332","affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028132107","display_name":"Amit Ranjan Trivedi","orcid":"https://orcid.org/0000-0001-5436-7922"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit Ranjan Trivedi","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39422238"],"apc_list":null,"apc_paid":null,"fwci":1.3358,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.81051799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"12","issue":"1","first_page":"9","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9962999820709229,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8352948427200317},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.813819169998169},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.676922619342804},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.499190092086792},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4890747666358948},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.4827501177787781},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4785200357437134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44379156827926636},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4266379177570343},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.40855419635772705},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3142988085746765}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8352948427200317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.813819169998169},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.676922619342804},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.499190092086792},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4890747666358948},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.4827501177787781},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4785200357437134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44379156827926636},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4266379177570343},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40855419635772705},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3142988085746765},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/les.2019.2915953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/les.2019.2915953","pdf_url":null,"source":{"id":"https://openalex.org/S22443479","display_name":"IEEE Embedded Systems Letters","issn_l":"1943-0663","issn":["1943-0663","1943-0671"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Embedded Systems Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W42176576","https://openalex.org/W99979315","https://openalex.org/W2052028878","https://openalex.org/W2099124598","https://openalex.org/W2147147599","https://openalex.org/W2165880886","https://openalex.org/W2309578058","https://openalex.org/W2545131480","https://openalex.org/W2947640655","https://openalex.org/W3127686677","https://openalex.org/W6601744818","https://openalex.org/W6604083828","https://openalex.org/W6728846001","https://openalex.org/W6917638038","https://openalex.org/W7029004856"],"related_works":["https://openalex.org/W2604976738","https://openalex.org/W3049268462","https://openalex.org/W4380987856","https://openalex.org/W3005023910","https://openalex.org/W2954309397","https://openalex.org/W3006320497","https://openalex.org/W2747298132","https://openalex.org/W1562793155","https://openalex.org/W2076520961","https://openalex.org/W2041146520"],"abstract_inverted_index":{"This":[0],"letter":[1],"discusses":[2],"a":[3],"novel":[4,52],"low-power":[5],"digital":[6],"CMOS":[7],"architecture":[8],"for":[9,78],"speaker":[10],"identification":[11],"(SI)":[12],"by":[13],"combining":[14],"k-means":[15,26],"clustering":[16,27,65],"with":[17,51],"Gaussian":[18],"mixture":[19],"model":[20],"(GMM)":[21],"scoring.":[22],"We":[23],"show":[24],"that":[25],"at":[28],"the":[29,32,64,76],"front-end":[30],"reduces":[31],"dimensionality":[33],"of":[34,46,63],"speech":[35],"features":[36],"to":[37,60],"minimize":[38,61],"downstream":[39],"processing":[40],"without":[41],"affecting":[42],"SI":[43,79],"accuracy.":[44],"Implementation":[45],"cluster":[47],"generator":[48],"is":[49],"discussed":[50],"distance":[53],"computing":[54],"and":[55],"online":[56],"centroid":[57],"update":[58],"datapaths":[59],"overhead":[62],"layer":[66],"(CL).":[67],"The":[68],"integrated":[69],"design":[70],"achieves":[71],"6\u00d7":[72],"lower":[73],"energy":[74],"than":[75],"conventional":[77],"among":[80],"ten":[81],"speakers.":[82]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
