{"id":"https://openalex.org/W3013185341","doi":"https://doi.org/10.1109/icassp40776.2020.9053755","title":"Autoregressive Parameter Estimation with Dnn-Based Pre-Processing","display_name":"Autoregressive Parameter Estimation with Dnn-Based Pre-Processing","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3013185341","doi":"https://doi.org/10.1109/icassp40776.2020.9053755","mag":"3013185341"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://vbn.aau.dk/da/publications/9f6296a9-49b4-4caf-843b-424a9bc0b281","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001321919","display_name":"Zihao Cui","orcid":"https://orcid.org/0000-0002-6915-3430"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zihao Cui","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070475244","display_name":"Changchun Bao","orcid":"https://orcid.org/0000-0002-5606-5343"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changchun Bao","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088017609","display_name":"Jesper Kj\u00e6r Nielsen","orcid":"https://orcid.org/0000-0002-2586-7925"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Jesper Kjar Nielsen","raw_affiliation_strings":["Audio Analysis Lab, CREATE, Aalborg University, Denmark"],"affiliations":[{"raw_affiliation_string":"Audio Analysis Lab, CREATE, Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026658144","display_name":"Mads Gr\u00e6sb\u00f8ll Christensen","orcid":"https://orcid.org/0000-0003-3586-7969"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Mads Grasboll Christensen","raw_affiliation_strings":["Audio Analysis Lab, CREATE, Aalborg University, Denmark"],"affiliations":[{"raw_affiliation_string":"Audio Analysis Lab, CREATE, Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001321919"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.1521,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4036494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"6759","last_page":"6763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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":1.0,"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":0.9994000196456909,"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":0.9991000294685364,"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/autoregressive-model","display_name":"Autoregressive model","score":0.8863739371299744},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.8079404234886169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.697171151638031},{"id":"https://openalex.org/keywords/recursion","display_name":"Recursion (computer science)","score":0.6021488904953003},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5637734532356262},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.5406922698020935},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5115395784378052},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.49199435114860535},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.45651909708976746},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4231279194355011},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40720149874687195},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3951154947280884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38894301652908325},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.28507137298583984},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2216486930847168},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06958740949630737}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.8863739371299744},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.8079404234886169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.697171151638031},{"id":"https://openalex.org/C168773036","wikidata":"https://www.wikidata.org/wiki/Q264164","display_name":"Recursion (computer science)","level":2,"score":0.6021488904953003},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5637734532356262},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.5406922698020935},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5115395784378052},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.49199435114860535},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.45651909708976746},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4231279194355011},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40720149874687195},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3951154947280884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38894301652908325},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.28507137298583984},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2216486930847168},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06958740949630737},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/9f6296a9-49b4-4caf-843b-424a9bc0b281","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/9f6296a9-49b4-4caf-843b-424a9bc0b281","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cui, Z, Bao, C, Nielsen, J K & Christensen, M G 2020, Autoregressive Parameter Estimation with DNN-based Pre-processing. in Proceedings of the International Conference on Acousics, Speech, and Signal Processing., 9053755, IEEE (Institute of Electrical and Electronics Engineers), Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 6759-6763, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 04/05/2020. https://doi.org/10.1109/ICASSP40776.2020.9053755","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:publications/9f6296a9-49b4-4caf-843b-424a9bc0b281","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85089227463&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Cui , Z , Bao , C , Nielsen , J K & Christensen , M G 2020 , Autoregressive Parameter Estimation with DNN-based Pre-processing . in Proceedings of the International Conference on Acousics, Speech, and Signal Processing . , 9053755 , IEEE , Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing , pp. 6759-6763 , ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , Barcelona , Spain , 04/05/2020 . https://doi.org/10.1109/ICASSP40776.2020.9053755","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/9f6296a9-49b4-4caf-843b-424a9bc0b281","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/9f6296a9-49b4-4caf-843b-424a9bc0b281","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cui, Z, Bao, C, Nielsen, J K & Christensen, M G 2020, Autoregressive Parameter Estimation with DNN-based Pre-processing. in Proceedings of the International Conference on Acousics, Speech, and Signal Processing., 9053755, IEEE (Institute of Electrical and Electronics Engineers), Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 6759-6763, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 04/05/2020. https://doi.org/10.1109/ICASSP40776.2020.9053755","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1557758472","https://openalex.org/W1587896874","https://openalex.org/W1635512741","https://openalex.org/W1983662669","https://openalex.org/W1989337816","https://openalex.org/W1995319862","https://openalex.org/W2010355946","https://openalex.org/W2069681747","https://openalex.org/W2076063813","https://openalex.org/W2097035595","https://openalex.org/W2106650471","https://openalex.org/W2121973264","https://openalex.org/W2135691157","https://openalex.org/W2144600569","https://openalex.org/W2151626637","https://openalex.org/W2154291215","https://openalex.org/W2156387975","https://openalex.org/W2289394825","https://openalex.org/W2326591006","https://openalex.org/W2582155768","https://openalex.org/W2899771611","https://openalex.org/W2935770401","https://openalex.org/W2964121744","https://openalex.org/W2964342009","https://openalex.org/W2965186982","https://openalex.org/W6631190155","https://openalex.org/W6668037159","https://openalex.org/W6676678174","https://openalex.org/W6682889407","https://openalex.org/W6739995215","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W1976679120","https://openalex.org/W4281614748","https://openalex.org/W2377519369","https://openalex.org/W2765883196","https://openalex.org/W3202311233","https://openalex.org/W2171218219","https://openalex.org/W2034826746","https://openalex.org/W2396919090","https://openalex.org/W1972271943","https://openalex.org/W1997177483"],"abstract_inverted_index":{"In":[0],"this":[1,72,97],"paper,":[2],"a":[3,11,21,38,56,91],"method":[4,17,103],"for":[5,40],"estimating":[6],"the":[7,29,41,62,66,76,85,101,110,116],"autoregressive":[8],"parameters":[9],"from":[10],"signal":[12],"segment":[13],"is":[14,18,78],"proposed.":[15],"The":[16,34,94],"based":[19],"on":[20,47],"deep":[22],"neural":[23],"network":[24],"(DNN)":[25],"in":[26,52,113],"combination":[27],"with":[28],"classical":[30],"Levinson-Durbin":[31],"recursion":[32],"(LDR).":[33],"DNN":[35,77,86],"acts":[36,64],"as":[37,65],"pre-processor":[39],"LDR":[42,63],"and":[43,82,98,123],"can":[44],"be":[45],"trained":[46],"different":[48],"metrics":[49],"commonly":[50],"encountered":[51],"speech":[53,111,124],"processing":[54],"using":[55],"generalized":[57],"analysis-by-synthesis":[58],"(GABS)":[59],"structure":[60,73],"where":[61],"encoder.":[67],"Unlike":[68],"end-to-end":[69],"data-driven":[70],"approaches,":[71],"ensures":[74],"that":[75,100,107],"easy":[79],"to":[80,89],"train":[81],"initialize":[83],"since":[84],"only":[87],"has":[88],"learn":[90],"simple":[92],"mapping.":[93],"results":[95],"confirm":[96],"show":[99],"proposed":[102],"produces":[104],"an":[105],"AR-spectrum":[106],"efficiently":[108],"represents":[109],"spectrum":[112],"terms":[114],"of":[115],"Itakura-Saito":[117],"divergence,":[118,120],"Kullback-Leibler":[119],"log-spectral":[121],"distortion,":[122],"distortion.":[125]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}