{"id":"https://openalex.org/W4297841815","doi":"https://doi.org/10.21437/interspeech.2022-912","title":"End-to-end LPCNet: A Neural Vocoder With Fully-Differentiable LPC Estimation","display_name":"End-to-end LPCNet: A Neural Vocoder With Fully-Differentiable LPC Estimation","publication_year":2022,"publication_date":"2022-09-16","ids":{"openalex":"https://openalex.org/W4297841815","doi":"https://doi.org/10.21437/interspeech.2022-912"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2022-912","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2022-912","pdf_url":null,"source":{"id":"https://openalex.org/S4363604309","display_name":"Interspeech 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2022","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/A5042472021","display_name":"Krishna Subramani","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Krishna Subramani","raw_affiliation_strings":["University of Illinois at Urbana-Champaign Amazon Web Services"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign Amazon Web Services","institution_ids":["https://openalex.org/I157725225","https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021269794","display_name":"Jean-Marc Valin","orcid":"https://orcid.org/0000-0002-9883-6927"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jean-Marc Valin","raw_affiliation_strings":["University of Illinois at Urbana-Champaign Amazon Web Services"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign Amazon Web Services","institution_ids":["https://openalex.org/I157725225","https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036092393","display_name":"Umut Isik","orcid":null},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]},{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Umut Isik","raw_affiliation_strings":["University of Illinois at Urbana-Champaign Amazon Web Services"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign Amazon Web Services","institution_ids":["https://openalex.org/I157725225","https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038903729","display_name":"Paris Smaragdis","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paris Smaragdis","raw_affiliation_strings":["University of Illinois at Urbana-Champaign Amazon Web Services"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign Amazon Web Services","institution_ids":["https://openalex.org/I157725225","https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112751528","display_name":"Arvindh Krishnaswamy","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arvindh Krishnaswamy","raw_affiliation_strings":["University of Illinois at Urbana-Champaign Amazon Web Services"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign Amazon Web Services","institution_ids":["https://openalex.org/I157725225","https://openalex.org/I1311688040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042472021"],"corresponding_institution_ids":["https://openalex.org/I1311688040","https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.9394,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.76853766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"818","last_page":"822"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T11309","display_name":"Music and Audio Processing","score":0.9970999956130981,"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/T10860","display_name":"Speech and Audio Processing","score":0.9886000156402588,"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/computer-science","display_name":"Computer science","score":0.6650652289390564},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5519808530807495},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.5339440703392029},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.5211060643196106},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.45386624336242676},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4435194432735443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2477891743183136},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16187724471092224},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08483454585075378}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6650652289390564},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5519808530807495},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.5339440703392029},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.5211060643196106},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.45386624336242676},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4435194432735443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2477891743183136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16187724471092224},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08483454585075378},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2022-912","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2022-912","pdf_url":null,"source":{"id":"https://openalex.org/S4363604309","display_name":"Interspeech 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2022","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":26,"referenced_works":["https://openalex.org/W181056519","https://openalex.org/W1966264494","https://openalex.org/W2150658333","https://openalex.org/W2151409182","https://openalex.org/W2403891086","https://openalex.org/W2519091744","https://openalex.org/W2750167318","https://openalex.org/W2963091184","https://openalex.org/W2963300588","https://openalex.org/W2963868408","https://openalex.org/W2972519044","https://openalex.org/W2972574864","https://openalex.org/W2998639482","https://openalex.org/W3028954259","https://openalex.org/W3030374183","https://openalex.org/W3032479101","https://openalex.org/W3032558098","https://openalex.org/W3037968286","https://openalex.org/W3092791109","https://openalex.org/W3162427973","https://openalex.org/W3198020407","https://openalex.org/W3215615641","https://openalex.org/W4255188857","https://openalex.org/W4287761884","https://openalex.org/W4297817572","https://openalex.org/W4298580827"],"related_works":["https://openalex.org/W4285277090","https://openalex.org/W4327738859","https://openalex.org/W2151749779","https://openalex.org/W3179968364","https://openalex.org/W2348722996","https://openalex.org/W2334570605","https://openalex.org/W3181683615","https://openalex.org/W4286826125","https://openalex.org/W1633485514","https://openalex.org/W1604739066"],"abstract_inverted_index":{"Neural":[0],"vocoders":[1],"have":[2],"recently":[3],"demonstrated":[4],"high":[5,13],"quality":[6,113],"speech":[7,74],"synthesis,":[8],"but":[9,119],"typically":[10],"require":[11],"a":[12,19,72],"computational":[14],"complexity.LPCNet":[15],"was":[16],"proposed":[17,106],"as":[18],"way":[20],"to":[21,33,88],"reduce":[22],"the":[23,43,50,55,64,67,90,94,98,105,112,115],"complexity":[24],"of":[25,57,80,114,139],"neural":[26],"synthesis":[27],"by":[28,86],"using":[29],"linear":[30],"prediction":[31],"(LP)":[32],"assist":[34],"an":[35,77],"autoregressive":[36],"model.At":[37],"inference":[38],"time,":[39],"LPCNet":[40,81],"relies":[41],"on":[42],"LP":[44,91,122],"coefficients":[45,92],"being":[46],"explicitly":[47],"computed":[48],"from":[49,93,130],"input":[51,68,95],"acoustic":[52],"features.That":[53],"makes":[54],"design":[56],"LPCNet-based":[58],"systems":[59],"more":[60],"complicated,":[61],"while":[62,134],"adding":[63],"constraint":[65],"that":[66,82,104],"features":[69,96],"must":[70],"represent":[71],"clean":[73],"spectrum.We":[75],"propose":[76],"end-to-end":[78,126],"version":[79],"lifts":[83],"these":[84],"limitations":[85],"learning":[87],"infer":[89],"in":[97],"frame":[99],"rate":[100],"network":[101],".Results":[102],"show":[103],"end-toend":[107],"approach":[108],"equals":[109],"or":[110],"exceeds":[111],"original":[116],"LPC-Net":[117],"model,":[118],"without":[120],"explicit":[121],"analysis.Our":[123],"open-source":[124],"1":[125],"model":[127],"still":[128],"benefits":[129],"LPCNet's":[131],"low":[132],"complexity,":[133],"allowing":[135],"for":[136],"any":[137],"type":[138],"conditioning":[140],"features.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2025-10-10T00:00:00"}
