{"id":"https://openalex.org/W2117426145","doi":"https://doi.org/10.1109/icassp.2009.4960496","title":"Data-driven voice soruce waveform modelling","display_name":"Data-driven voice soruce waveform modelling","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2117426145","doi":"https://doi.org/10.1109/icassp.2009.4960496","mag":"2117426145"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4960496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5043982558","display_name":"Mark R. Thomas","orcid":"https://orcid.org/0000-0001-7048-7764"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Mark R. P. Thomas","raw_affiliation_strings":["Imperial College London, London, UK","Imperial College London, Exhibition Road, SW7 2AZ, UK"],"affiliations":[{"raw_affiliation_string":"Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Imperial College London, Exhibition Road, SW7 2AZ, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079762083","display_name":"J\u00f3n Gu\u00f0nason","orcid":"https://orcid.org/0000-0001-6560-5543"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jon Gudnason","raw_affiliation_strings":["Imperial College London, London, UK","Imperial College London, Exhibition Road, SW7 2AZ, UK"],"affiliations":[{"raw_affiliation_string":"Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Imperial College London, Exhibition Road, SW7 2AZ, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016227729","display_name":"Patrick A. Naylor","orcid":"https://orcid.org/0000-0001-8546-8013"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Patrick A. Naylor","raw_affiliation_strings":["Imperial College London, London, UK","Imperial College London, Exhibition Road, SW7 2AZ, UK"],"affiliations":[{"raw_affiliation_string":"Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Imperial College London, Exhibition Road, SW7 2AZ, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043982558"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":3.4895,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.93018522,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3965","last_page":"3968"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10860","display_name":"Speech and Audio Processing","score":0.9994999766349792,"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":0.9986000061035156,"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/waveform","display_name":"Waveform","score":0.7628413438796997},{"id":"https://openalex.org/keywords/vocal-tract","display_name":"Vocal tract","score":0.7584065198898315},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7491441965103149},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6567332744598389},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.606764018535614},{"id":"https://openalex.org/keywords/inverse-filter","display_name":"Inverse filter","score":0.5563576817512512},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5193248987197876},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4862464666366577},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.44744637608528137},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4146106541156769},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.35693028569221497},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.336420476436615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3026319742202759},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.2687333822250366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13177147507667542},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09837996959686279}],"concepts":[{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.7628413438796997},{"id":"https://openalex.org/C47401133","wikidata":"https://www.wikidata.org/wiki/Q748953","display_name":"Vocal tract","level":2,"score":0.7584065198898315},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7491441965103149},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6567332744598389},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.606764018535614},{"id":"https://openalex.org/C2779948431","wikidata":"https://www.wikidata.org/wiki/Q17092649","display_name":"Inverse filter","level":3,"score":0.5563576817512512},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5193248987197876},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4862464666366577},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.44744637608528137},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4146106541156769},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.35693028569221497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.336420476436615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3026319742202759},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.2687333822250366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13177147507667542},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09837996959686279},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2009.4960496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W169745891","https://openalex.org/W1505485158","https://openalex.org/W1506281249","https://openalex.org/W1966264494","https://openalex.org/W2022194925","https://openalex.org/W2024481790","https://openalex.org/W2024590593","https://openalex.org/W2038299421","https://openalex.org/W2049633694","https://openalex.org/W2058255766","https://openalex.org/W2065925624","https://openalex.org/W2103764823","https://openalex.org/W2112538323","https://openalex.org/W2118209063","https://openalex.org/W2119403601","https://openalex.org/W2148154194","https://openalex.org/W2153077516","https://openalex.org/W2161096157","https://openalex.org/W2167022266","https://openalex.org/W2171015304","https://openalex.org/W2799061466","https://openalex.org/W4205687621","https://openalex.org/W6682725998","https://openalex.org/W6683876062"],"related_works":["https://openalex.org/W2100012411","https://openalex.org/W1482212662","https://openalex.org/W1997579527","https://openalex.org/W2991388039","https://openalex.org/W2166025891","https://openalex.org/W2394579548","https://openalex.org/W2165083446","https://openalex.org/W2032268913","https://openalex.org/W46300955","https://openalex.org/W2115277869"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,17,46,98,128],"data-driven":[4,99],"approach":[5,100],"to":[6,44,101],"the":[7,30,60,70,88],"modelling":[8],"of":[9,29,75,86,91,104,121,131],"voice":[10,14,61,92,105,132,156],"source":[11,15,51,62,93,106,133,157],"waveforms.":[12,94],"The":[13],"is":[16,20,35,78,125,142],"signal":[18,48,63,141],"that":[19,153],"estimated":[21],"by":[22],"inverse-filtering":[23],"speech":[24,38,47,140],"signals":[25],"with":[26,64,115,154],"an":[27],"estimate":[28],"vocal":[31,53],"tract":[32,54],"filter.":[33],"It":[34],"used":[36],"in":[37],"analysis,":[39],"synthesis,":[40],"recognition":[41],"and":[42,52,82,149],"coding":[43],"decompose":[45],"into":[49,145],"its":[50,146],"filter":[55],"components.":[56],"Existing":[57],"approaches":[58],"parameterize":[59],"physically-":[65],"or":[66],"mathematically-motivated":[67],"models.":[68],"Though":[69],"models":[71],"are":[72,84],"well-defined,":[73],"estimation":[74],"their":[76,110],"parameters":[77],"not":[79],"well":[80],"understood":[81],"few":[83],"capable":[85],"reproducing":[87],"large":[89],"variety":[90],"Here":[95],"we":[96],"present":[97],"classify":[102],"types":[103],"waveforms":[107],"based":[108],"upon":[109],"mel":[111],"frequency":[112],"cepstrum":[113],"coefficients":[114],"Gaussian":[116],"mixture":[117],"modelling.":[118],"A":[119],"set":[120],"ldquoprototyperdquo":[122],"waveform":[123],"classes":[124],"derived":[126],"from":[127,135],"weighted":[129],"average":[130],"cycles":[134],"real":[136],"data.":[137],"An":[138],"unknown":[139],"then":[143],"decomposed":[144],"prototype":[147],"components":[148],"resynthesized.":[150],"Results":[151],"indicate":[152],"sixteen":[155],"classes,":[158],"low":[159],"resynthesis":[160],"errors":[161],"can":[162],"be":[163],"achieved.":[164]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
