{"id":"https://openalex.org/W2138296373","doi":"https://doi.org/10.1186/1687-4722-2013-28","title":"A novel voice conversion approach using admissible wavelet packet decomposition","display_name":"A novel voice conversion approach using admissible wavelet packet decomposition","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2138296373","doi":"https://doi.org/10.1186/1687-4722-2013-28","mag":"2138296373"},"language":"en","primary_location":{"id":"doi:10.1186/1687-4722-2013-28","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-4722-2013-28","pdf_url":"https://asmp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-4722-2013-28","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722","3091-4523"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asmp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-4722-2013-28","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031064359","display_name":"Jagannath Nirmal","orcid":"https://orcid.org/0000-0001-5693-1195"},"institutions":[{"id":"https://openalex.org/I42014448","display_name":"Sardar Vallabhbhai National Institute of Technology Surat","ror":"https://ror.org/02y394t43","country_code":"IN","type":"education","lineage":["https://openalex.org/I42014448"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Jagannath H Nirmal","raw_affiliation_strings":["Department of Electronics Engineering, S.V. National Institute of Technology, Surat, 395007, India","Department of Electronics Engineering, S.V. National Institute of Technology, Surat, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, S.V. National Institute of Technology, Surat, 395007, India","institution_ids":["https://openalex.org/I42014448"]},{"raw_affiliation_string":"Department of Electronics Engineering, S.V. National Institute of Technology, Surat, India","institution_ids":["https://openalex.org/I42014448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064684010","display_name":"Mukesh A. Zaveri","orcid":"https://orcid.org/0000-0002-7125-6527"},"institutions":[{"id":"https://openalex.org/I42014448","display_name":"Sardar Vallabhbhai National Institute of Technology Surat","ror":"https://ror.org/02y394t43","country_code":"IN","type":"education","lineage":["https://openalex.org/I42014448"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mukesh A Zaveri","raw_affiliation_strings":["Department of Computer Engineering, S.V. National Institute of Technology, Surat, 395007, India","[Department of Computer Engineering, S.V. National Institute of Technology, Surat, India]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, S.V. National Institute of Technology, Surat, 395007, India","institution_ids":["https://openalex.org/I42014448"]},{"raw_affiliation_string":"[Department of Computer Engineering, S.V. National Institute of Technology, Surat, India]","institution_ids":["https://openalex.org/I42014448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008228550","display_name":"Suprava Patnaik","orcid":"https://orcid.org/0000-0002-7068-5960"},"institutions":[{"id":"https://openalex.org/I42014448","display_name":"Sardar Vallabhbhai National Institute of Technology Surat","ror":"https://ror.org/02y394t43","country_code":"IN","type":"education","lineage":["https://openalex.org/I42014448"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suprava Patnaik","raw_affiliation_strings":["Department of Electronics Engineering, S.V. National Institute of Technology, Surat, 395007, India","Department of Electronics Engineering, S.V. National Institute of Technology, Surat, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, S.V. National Institute of Technology, Surat, 395007, India","institution_ids":["https://openalex.org/I42014448"]},{"raw_affiliation_string":"Department of Electronics Engineering, S.V. National Institute of Technology, Surat, India","institution_ids":["https://openalex.org/I42014448"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046664222","display_name":"Pramod Kachare","orcid":"https://orcid.org/0000-0002-8638-7044"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pramod H Kachare","raw_affiliation_strings":["Department of Electronics Engineering, Veermata Jeejabai Institute of Technology, Mumbai, 400031, India","Department of Electronics Engineering, Veermata Jeejabai Institute of Technology, Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Veermata Jeejabai Institute of Technology, Mumbai, 400031, India","institution_ids":[]},{"raw_affiliation_string":"Department of Electronics Engineering, Veermata Jeejabai Institute of Technology, Mumbai, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5031064359"],"corresponding_institution_ids":["https://openalex.org/I42014448"],"apc_list":{"value":1635,"currency":"USD","value_usd":1635},"apc_paid":{"value":1635,"currency":"USD","value_usd":1635},"fwci":2.5787,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.89975957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2013","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9991999864578247,"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":0.9909999966621399,"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/computer-science","display_name":"Computer science","score":0.7591108083724976},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.663023829460144},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.6178957223892212},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.5930050015449524},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5793889760971069},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.513004720211029},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.49297213554382324},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.4925096929073334},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48412904143333435},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48224076628685},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.44847604632377625},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.44729265570640564},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.4303935170173645},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41498151421546936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37332144379615784},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.30223941802978516}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7591108083724976},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.663023829460144},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.6178957223892212},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.5930050015449524},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5793889760971069},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.513004720211029},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.49297213554382324},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.4925096929073334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48412904143333435},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48224076628685},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.44847604632377625},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.44729265570640564},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.4303935170173645},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41498151421546936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37332144379615784},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.30223941802978516},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1186/1687-4722-2013-28","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-4722-2013-28","pdf_url":"https://asmp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-4722-2013-28","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722","3091-4523"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1186/1687-4722-2013-28","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-4722-2013-28","pdf_url":"https://asmp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-4722-2013-28","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722","3091-4523"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2138296373.pdf","grobid_xml":"https://content.openalex.org/works/W2138296373.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W87473629","https://openalex.org/W95152782","https://openalex.org/W133465872","https://openalex.org/W1526513105","https://openalex.org/W1586414801","https://openalex.org/W1892640180","https://openalex.org/W1973354160","https://openalex.org/W1974605885","https://openalex.org/W1991402032","https://openalex.org/W2011916518","https://openalex.org/W2032074738","https://openalex.org/W2033516035","https://openalex.org/W2041475595","https://openalex.org/W2049686551","https://openalex.org/W2052274528","https://openalex.org/W2067234399","https://openalex.org/W2069640404","https://openalex.org/W2069704392","https://openalex.org/W2088562567","https://openalex.org/W2096980176","https://openalex.org/W2101344535","https://openalex.org/W2105160541","https://openalex.org/W2110589840","https://openalex.org/W2111491793","https://openalex.org/W2114543868","https://openalex.org/W2118850452","https://openalex.org/W2119125873","https://openalex.org/W2124547550","https://openalex.org/W2154826081","https://openalex.org/W2157412983","https://openalex.org/W2359321000"],"related_works":["https://openalex.org/W2018086531","https://openalex.org/W1980297060","https://openalex.org/W2766680336","https://openalex.org/W2133320490","https://openalex.org/W2387604097","https://openalex.org/W2787035864","https://openalex.org/W4289830142","https://openalex.org/W2373675101","https://openalex.org/W3150393935","https://openalex.org/W2186375278"],"abstract_inverted_index":{"The":[0,20,138],"framework":[1],"of":[2,16,57,61,181],"voice":[3,146,155],"conversion":[4,147],"system":[5,148],"is":[6,64,77,124],"expected":[7],"to":[8,37,51,79,101,126,134,151],"emphasize":[9],"both":[10],"the":[11,17,58,68,85,90,105,120,128,132,135,142,152,168,174,182],"static":[12],"and":[13,28,95,161,178],"dynamic":[14,55,176],"characteristics":[15,56,177],"speech":[18,117,183],"signal.":[19,184],"conventional":[21],"approaches":[22],"like":[23],"Mel":[24],"frequency":[25,39],"cepstrum":[26],"coefficients":[27,31],"linear":[29],"predictive":[30],"focus":[32],"on":[33,104],"spectral":[34],"features":[35,130],"limited":[36],"lower":[38],"bands.":[40],"This":[41],"paper":[42,63],"presents":[43],"a":[44],"novel":[45],"wavelet":[46,73],"packet":[47,74],"filter":[48,144],"bank":[49],"approach":[50],"identify":[52],"non-uniformly":[53],"distributed":[54],"speaker.":[59],"Contribution":[60],"this":[62],"threefold.":[65],"First,":[66],"in":[67,89],"feature":[69,91],"extraction":[70],"stage,":[71],"dyadic":[72],"tree":[75],"structure":[76],"optimized":[78],"involve":[80],"less":[81],"computation":[82],"while":[83],"preserving":[84],"speaker-specific":[86,129,175],"features.":[87],"Second,":[88],"representation":[92],"step,":[93],"magnitude":[94],"phase":[96,179],"attributes":[97],"are":[98,111,149],"treated":[99],"separately":[100],"rule":[102],"out":[103],"fact":[106],"that":[107,167],"raw":[108],"time-frequency":[109],"traits":[110],"highly":[112],"correlated":[113],"but":[114],"carry":[115],"intelligent":[116],"information.":[118],"Finally,":[119],"RBF":[121],"mapping":[122],"function":[123],"established":[125],"transform":[127],"from":[131],"source":[133],"target":[136],"speakers.":[137],"results":[139,157,165],"obtained":[140],"by":[141,158,172],"proposed":[143,169],"bank-based":[145],"compared":[150],"baseline":[153],"multiscale":[154],"morphing":[156],"using":[159],"subjective":[160],"objective":[162],"measures.":[163],"Evaluation":[164],"reveal":[166],"method":[170],"outperforms":[171],"incorporating":[173],"information":[180]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}