{"id":"https://openalex.org/W2003414278","doi":"https://doi.org/10.1109/icacci.2013.6637301","title":"Phoneme independent pathological voice detection using wavelet based MFCCs, GMM-SVM hybrid classifier","display_name":"Phoneme independent pathological voice detection using wavelet based MFCCs, GMM-SVM hybrid classifier","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2003414278","doi":"https://doi.org/10.1109/icacci.2013.6637301","mag":"2003414278"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2013.6637301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2013.6637301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5039445878","display_name":"C. M. Vikram","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"C. M. Vikram","raw_affiliation_strings":["Sri Jaya Chamarajendra College of Engineering, Mysore, India"],"affiliations":[{"raw_affiliation_string":"Sri Jaya Chamarajendra College of Engineering, Mysore, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045100743","display_name":"K. Umarani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. Umarani","raw_affiliation_strings":["Sri Jaya Chamarajendra College of Engineering, Mysore, India","Sri Jayachamarajendra College of Engineering, Mysore, India"],"affiliations":[{"raw_affiliation_string":"Sri Jaya Chamarajendra College of Engineering, Mysore, India","institution_ids":[]},{"raw_affiliation_string":"Sri Jayachamarajendra College of Engineering, Mysore, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039445878"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9618,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81371841,"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":"929","last_page":"934"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9970999956130981,"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":0.9970999956130981,"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":0.9962000250816345,"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"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9610000252723694,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.846848726272583},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7342877388000488},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7078074216842651},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.688859760761261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.674646258354187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6485480666160583},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6372049450874329},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5538387298583984},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5406763553619385},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.42644965648651123},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3299259841442108}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.846848726272583},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7342877388000488},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7078074216842651},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.688859760761261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.674646258354187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6485480666160583},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6372049450874329},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5538387298583984},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5406763553619385},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.42644965648651123},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3299259841442108}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2013.6637301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2013.6637301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W115710901","https://openalex.org/W1637570796","https://openalex.org/W1964080804","https://openalex.org/W1974121109","https://openalex.org/W2002080627","https://openalex.org/W2010817634","https://openalex.org/W2015640083","https://openalex.org/W2041960929","https://openalex.org/W2072682668","https://openalex.org/W2093862051","https://openalex.org/W2111477876","https://openalex.org/W2117095944","https://openalex.org/W2132025473","https://openalex.org/W2152924859","https://openalex.org/W2154029067","https://openalex.org/W2154278880","https://openalex.org/W2161700084","https://openalex.org/W2162109146","https://openalex.org/W2171253302","https://openalex.org/W2182872654","https://openalex.org/W2287447742","https://openalex.org/W2614661804","https://openalex.org/W6636885848","https://openalex.org/W6737840258"],"related_works":["https://openalex.org/W2349769824","https://openalex.org/W2914532148","https://openalex.org/W2372625757","https://openalex.org/W4313178214","https://openalex.org/W2970653563","https://openalex.org/W3093766508","https://openalex.org/W2012393389","https://openalex.org/W2048014685","https://openalex.org/W2370972896","https://openalex.org/W2077021924"],"abstract_inverted_index":{"The":[0,15,40,56,75],"paper":[1],"proposes":[2,18],"a":[3,19,88],"new":[4,16],"method":[5,17],"for":[6,48,80],"the":[7,67],"phoneme":[8],"independent":[9],"normal":[10],"and":[11,35,85],"pathological":[12],"voice":[13],"classification.":[14],"wavelet":[20,54,81],"sub":[21,50,60,82],"band":[22,51,61,83],"based":[23],"hybrid":[24],"classifier":[25],"built":[26],"by":[27,53],"combining":[28],"Gaussian":[29],"Mixture":[30],"Model-Universal":[31],"Background":[32],"Model":[33],"(GMM-UBM)":[34],"Support":[36],"Vector":[37],"Machine":[38],"(SVM).":[39],"Mel":[41],"Frequency":[42],"Cepstral":[43],"Coefficients":[44],"(MFCCs)":[45],"are":[46,62,71],"computed":[47],"each":[49,59],"obtained":[52],"decomposition.":[55],"MFCCs":[57,84,95],"of":[58,69,77,91],"modelled":[63],"using":[64,73],"GMM-UBM.":[65],"Finally":[66],"scores":[68],"GMM-UBMs":[70],"fused":[72],"SVM.":[74],"fusion":[76],"GMM":[78,97],"-UBM":[79,98],"SVM":[86],"gives":[87,99],"maximum":[89],"accuracy":[90],"96.61%":[92],"whereas":[93],"conventional":[94],"with":[96],"85.18%.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
