{"id":"https://openalex.org/W2918676124","doi":"https://doi.org/10.1109/acssc.2018.8645448","title":"Revisiting the Linear Prediction Analysis-by-Synthesis Speech Coding Paradigm Using Real-Time Convex Optimization","display_name":"Revisiting the Linear Prediction Analysis-by-Synthesis Speech Coding Paradigm Using Real-Time Convex Optimization","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2918676124","doi":"https://doi.org/10.1109/acssc.2018.8645448","mag":"2918676124"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2018.8645448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2018.8645448","pdf_url":null,"source":{"id":"https://openalex.org/S4363608623","display_name":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","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":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://vbn.aau.dk/da/publications/812b4211-c930-405d-88aa-d99290891184","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000691788","display_name":"Daniele Giacobello","orcid":"https://orcid.org/0000-0001-8708-8604"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniele Giacobello","raw_affiliation_strings":["Sonos Inc., Santa Barbara, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sonos Inc., Santa Barbara, CA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055723513","display_name":"Manohar N. Murthi","orcid":null},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Manohar Murthi","raw_affiliation_strings":["Electrical & Computer Engineering Department, University of Miami, FL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical & Computer Engineering Department, University of Miami, FL","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074156299","display_name":"Tobias Lindstr\u00f8m Jensen","orcid":"https://orcid.org/0000-0003-4262-0577"},"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":"Tobias LindstrOm Jensen","raw_affiliation_strings":["Signal and Information Processing, Aalborg University, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Information Processing, 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, AD:MT, Aalborg University, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Audio Analysis Lab, AD:MT, Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1947","last_page":"1952"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/speech-coding","display_name":"Speech coding","score":0.7541612982749939},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.7230702638626099},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.7059123516082764},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6818012595176697},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.657841145992279},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6549479961395264},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5843935012817383},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5015659332275391},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4665985107421875},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.46036258339881897},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4505713880062103},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4271780550479889},{"id":"https://openalex.org/keywords/rewriting","display_name":"Rewriting","score":0.425694078207016},{"id":"https://openalex.org/keywords/harmonic-vector-excitation-coding","display_name":"Harmonic Vector Excitation Coding","score":0.4175509512424469},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24989712238311768},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07176509499549866}],"concepts":[{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.7541612982749939},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.7230702638626099},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.7059123516082764},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6818012595176697},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.657841145992279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6549479961395264},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5843935012817383},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5015659332275391},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4665985107421875},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.46036258339881897},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4505713880062103},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4271780550479889},{"id":"https://openalex.org/C154690210","wikidata":"https://www.wikidata.org/wiki/Q1668499","display_name":"Rewriting","level":2,"score":0.425694078207016},{"id":"https://openalex.org/C80167644","wikidata":"https://www.wikidata.org/wiki/Q463990","display_name":"Harmonic Vector Excitation Coding","level":3,"score":0.4175509512424469},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24989712238311768},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07176509499549866},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/acssc.2018.8645448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2018.8645448","pdf_url":null,"source":{"id":"https://openalex.org/S4363608623","display_name":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","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":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/812b4211-c930-405d-88aa-d99290891184","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/812b4211-c930-405d-88aa-d99290891184","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":"Giacobello, D, Murthi, M, Jensen, T L & Christensen, M G 2018, 'Revisiting the Linear Prediction Analysis-by-Synthesis Speech Coding Paradigm using Real-time Convex Optimization', Asilomar Conference on Signals, Systems and Computers. Conference Record, vol. 2018.","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/812b4211-c930-405d-88aa-d99290891184","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/812b4211-c930-405d-88aa-d99290891184","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":"Giacobello, D, Murthi, M, Jensen, T L & Christensen, M G 2018, 'Revisiting the Linear Prediction Analysis-by-Synthesis Speech Coding Paradigm using Real-time Convex Optimization', Asilomar Conference on Signals, Systems and Computers. Conference Record, vol. 2018.","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W67772112","https://openalex.org/W151466667","https://openalex.org/W1828907027","https://openalex.org/W1946620893","https://openalex.org/W1966264494","https://openalex.org/W1971002736","https://openalex.org/W1990155297","https://openalex.org/W1992091448","https://openalex.org/W1995319862","https://openalex.org/W2006175881","https://openalex.org/W2006262045","https://openalex.org/W2025611038","https://openalex.org/W2028349405","https://openalex.org/W2046795941","https://openalex.org/W2079337129","https://openalex.org/W2083042020","https://openalex.org/W2100556411","https://openalex.org/W2102182691","https://openalex.org/W2122073018","https://openalex.org/W2124541940","https://openalex.org/W2126607811","https://openalex.org/W2128307820","https://openalex.org/W2134568086","https://openalex.org/W2138091955","https://openalex.org/W2145085304","https://openalex.org/W2145534432","https://openalex.org/W2147617778","https://openalex.org/W2151158395","https://openalex.org/W2154819848","https://openalex.org/W2164916833","https://openalex.org/W2165291881","https://openalex.org/W2213711977","https://openalex.org/W3141595720","https://openalex.org/W6638824412","https://openalex.org/W6640435808","https://openalex.org/W6678035273","https://openalex.org/W6688549908"],"related_works":["https://openalex.org/W2363301696","https://openalex.org/W1570840316","https://openalex.org/W2155796184","https://openalex.org/W2350749055","https://openalex.org/W1510556297","https://openalex.org/W2363995577","https://openalex.org/W1042315724","https://openalex.org/W1921152853","https://openalex.org/W2505196176","https://openalex.org/W2376880470"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"propose":[4],"a":[5,20,70,74,88,92,101],"novel":[6],"approach":[7],"to":[8,48],"speech":[9,51,75,89],"coding":[10,56],"by":[11],"rewriting":[12],"the":[13,32,37,39,42,45,50,59,82],"nonlinear":[14],"analysis-by-synthesis":[15],"linear":[16],"prediction":[17],"scheme":[18,68],"as":[19],"convex":[21],"problem.":[22],"This":[23],"allows":[24],"for":[25],"determining":[26],"trade-offs":[27],"between,":[28],"on":[29,36],"one":[30],"hand,":[31],"reconstruction":[33],"error":[34],"and,":[35,99],"other,":[38],"sparsity":[40],"of":[41,73,87],"predictor":[43,98],"and":[44,97],"residual":[46,96],"used":[47],"parametrize":[49],"signal.":[52],"Differently":[53],"from":[54],"traditional":[55],"schemes":[57],"where":[58],"parameters":[60],"are":[61],"chosen":[62],"throughout":[63],"multiple":[64],"optimization":[65],"stages,":[66],"our":[67],"produces":[69],"one-shot":[71],"parametrization":[72],"segment":[76,90],"that":[77],"intrinsically":[78],"takes":[79],"into":[80],"consideration":[81],"voiced":[83],"or":[84],"unvoiced":[85],"nature":[86],"providing":[91],"better":[93],"balance":[94],"between":[95],"consequently,":[100],"more":[102],"appropriate":[103],"bit":[104],"allocation.":[105]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}