{"id":"https://openalex.org/W2960163436","doi":"https://doi.org/10.1145/3335484.3335528","title":"A Comparison of MFCC and LPCC with Deep Learning for Speaker Recognition","display_name":"A Comparison of MFCC and LPCC with Deep Learning for Speaker Recognition","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2960163436","doi":"https://doi.org/10.1145/3335484.3335528","mag":"2960163436"},"language":"en","primary_location":{"id":"doi:10.1145/3335484.3335528","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3335484.3335528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 4th International Conference on Big Data and Computing  - ICBDC 2019","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/A5050776704","display_name":"Haiyan Yang","orcid":"https://orcid.org/0000-0003-0553-7061"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiyan Yang","raw_affiliation_strings":["Information and Communication School, Guilin University of, Electronic Technology, China, Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Information and Communication School, Guilin University of, Electronic Technology, China, Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005625531","display_name":"Yanrong Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanrong Deng","raw_affiliation_strings":["Information and Communication School, Guilin University of, Electronic Technology, China, Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Information and Communication School, Guilin University of, Electronic Technology, China, Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100853654","display_name":"Hua-An Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hua-An Zhao","raw_affiliation_strings":["Dept. of Computer Science and Electrical Engineering, Kumamoto University, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Electrical Engineering, Kumamoto University, Japan","institution_ids":["https://openalex.org/I96036126"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050776704"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":null,"apc_paid":null,"fwci":0.28,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.64880633,"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":"160","last_page":"164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9976999759674072,"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":0.984499990940094,"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":0.8987348079681396},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7411571741104126},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.681602418422699},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.6458150148391724},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.5998573899269104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4789576828479767},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45519790053367615},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4250173568725586},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4227685332298279}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.8987348079681396},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7411571741104126},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.681602418422699},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.6458150148391724},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.5998573899269104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4789576828479767},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45519790053367615},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4250173568725586},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4227685332298279}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3335484.3335528","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3335484.3335528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 4th International Conference on Big Data and Computing  - ICBDC 2019","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1988865394","https://openalex.org/W2007221293","https://openalex.org/W2032423026","https://openalex.org/W2062826588","https://openalex.org/W2076063813","https://openalex.org/W2470409956","https://openalex.org/W2534261280","https://openalex.org/W2602034649"],"related_works":["https://openalex.org/W2018086531","https://openalex.org/W1980297060","https://openalex.org/W2387604097","https://openalex.org/W2373675101","https://openalex.org/W2038216521","https://openalex.org/W4385672897","https://openalex.org/W2736574136","https://openalex.org/W106160982","https://openalex.org/W3119288895","https://openalex.org/W894828327"],"abstract_inverted_index":{"The":[0],"biological":[1,40],"information":[2],"includes":[3],"a":[4,8,10,12,121],"fingerprint,":[5],"an":[6],"iris,":[7],"face,":[9],"vein,":[11],"voice.":[13,67],"Among":[14],"them,":[15],"since":[16],"the":[17,23,27,30,60,66,79,82,85,90,109],"voice":[18,49,58,86],"is":[19,34,45,75,92,100,112],"not":[20],"touched":[21],"directly,":[22],"psychological":[24],"burden":[25],"on":[26,135],"user":[28],"at":[29],"time":[31],"of":[32,62,81,89,131],"input":[33,48],"small":[35],"as":[36],"compared":[37],"with":[38,124],"other":[39,99],"information.":[41],"In":[42,68,106],"addition,":[43],"it":[44,74],"possible":[46],"to":[47,54,70,77],"easily.":[50],"Speaker":[51],"recognition":[52,111],"refers":[53],"automatically":[55],"determining":[56],"whose":[57],"by":[59,119],"characteristics":[61,80],"individuality":[63],"included":[64],"in":[65],"order":[69],"perform":[71],"individual":[72],"authentication,":[73],"necessary":[76],"extract":[78],"speaker":[83,110,136],"from":[84],"data.":[87],"One":[88],"methods":[91],"Mel":[93],"frequency":[94],"cepstral":[95,103],"coefficient":[96],"(MFCC)":[97],"and":[98,116,133],"linear":[101],"prediction":[102],"coefficients":[104],"(LPCC).":[105],"this":[107],"paper,":[108],"performed":[113],"using":[114,120],"MFCC":[115,132],"LPCC":[117,134],"features":[118,130],"neural":[122],"network":[123],"deep":[125],"learning,":[126],"we":[127],"will":[128],"evaluate":[129],"recognition.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"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"}
