{"id":"https://openalex.org/W74720146","doi":"https://doi.org/10.21437/interspeech.2008-394","title":"Sparse linear predictors for speech processing","display_name":"Sparse linear predictors for speech processing","publication_year":2008,"publication_date":"2008-09-22","ids":{"openalex":"https://openalex.org/W74720146","doi":"https://doi.org/10.21437/interspeech.2008-394","mag":"74720146"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2008-394","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2008-394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2008","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/c4a62d70-6deb-11dd-b00b-000ea68e967b","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":[{"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":"Daniele Giacobello","raw_affiliation_strings":["[Aalborg university]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Aalborg university]","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","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 Gr\u00e6sb\u00f8ll Christensen","raw_affiliation_strings":["[Aalborg university]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Aalborg university]","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014398090","display_name":"Joachim Dahl","orcid":"https://orcid.org/0000-0002-5656-7909"},"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":"Joachim Dahl","raw_affiliation_strings":["[Aalborg university]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Aalborg university]","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103115969","display_name":"S\u00f8ren Holdt Jensen","orcid":"https://orcid.org/0000-0002-1050-470X"},"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":"S\u00f8ren Holdt Jensen","raw_affiliation_strings":["[Aalborg university]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Aalborg university]","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051849103","display_name":"Marc Moonen","orcid":"https://orcid.org/0000-0003-4461-0073"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Marc Moonen","raw_affiliation_strings":["Katholieke Universiteit \u00adLeuven"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Katholieke Universiteit \u00adLeuven","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.4146,"has_fulltext":true,"cited_by_count":40,"citation_normalized_percentile":{"value":0.97444478,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1353","last_page":"1356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9995999932289124,"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/residual","display_name":"Residual","score":0.7388496398925781},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6874021291732788},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6743127107620239},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.575130820274353},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5178259015083313},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5133387446403503},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5054349899291992},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.5016496181488037},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4952172338962555},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4733417332172394},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.4639546275138855},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.44310712814331055},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4158175587654114},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.41050469875335693},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3611392080783844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2816851735115051},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2589471638202667},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1322213113307953},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.12229841947555542}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7388496398925781},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6874021291732788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6743127107620239},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.575130820274353},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5178259015083313},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5133387446403503},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5054349899291992},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.5016496181488037},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4952172338962555},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4733417332172394},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.4639546275138855},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.44310712814331055},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4158175587654114},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.41050469875335693},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3611392080783844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2816851735115051},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2589471638202667},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1322213113307953},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.12229841947555542},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/interspeech.2008-394","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2008-394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2008","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/c4a62d70-6deb-11dd-b00b-000ea68e967b","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/c4a62d70-6deb-11dd-b00b-000ea68e967b","pdf_url":"https://vbn.aau.dk/da/publications/c4a62d70-6deb-11dd-b00b-000ea68e967b","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":"Giacobello, D, Christensen, M G, Dahl, J, Jensen, S H & Moonen, M 2008, 'Sparse Linear Predictors for Speech Processing', Proceedings of the International Conference on Spoken Language Processing.","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.333.3400","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.333.3400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vbn.aau.dk/files/16999167/giacobello08interspeech.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/c4a62d70-6deb-11dd-b00b-000ea68e967b","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/c4a62d70-6deb-11dd-b00b-000ea68e967b","pdf_url":"https://vbn.aau.dk/da/publications/c4a62d70-6deb-11dd-b00b-000ea68e967b","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":"Giacobello, D, Christensen, M G, Dahl, J, Jensen, S H & Moonen, M 2008, 'Sparse Linear Predictors for Speech Processing', Proceedings of the International Conference on Spoken Language Processing.","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W74720146.pdf"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W210359992","https://openalex.org/W1493163583","https://openalex.org/W1504587005","https://openalex.org/W1518039036","https://openalex.org/W1948357167","https://openalex.org/W1966264494","https://openalex.org/W1990768232","https://openalex.org/W2105454037","https://openalex.org/W2106757650","https://openalex.org/W2123684326","https://openalex.org/W2131664668","https://openalex.org/W2139459106","https://openalex.org/W2159644785","https://openalex.org/W2296319761","https://openalex.org/W2327750479"],"related_works":["https://openalex.org/W2120771489","https://openalex.org/W2051376034","https://openalex.org/W2955597484","https://openalex.org/W3110551121","https://openalex.org/W2033385447","https://openalex.org/W2089240210","https://openalex.org/W2131486661","https://openalex.org/W2598586350","https://openalex.org/W2161396743","https://openalex.org/W2096684559"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"two":[3],"new":[4],"classes":[5],"of":[6,18,45,66,89],"linear":[7,117],"prediction":[8,76],"schemes.":[9],"The":[10,69,94],"first":[11],"one":[12],"is":[13],"based":[14],"on":[15],"the":[16,49,64,86],"concept":[17],"creating":[19],"a":[20,25,32,60],"sparse":[21,75],"residual":[22,62],"rather":[23],"than":[24],"minimum":[26],"variance":[27],"one,":[28],"which":[29,104],"will":[30,37],"allow":[31],"more":[33],"efficient":[34],"quantization;":[35],"we":[36],"show":[38],"that":[39],"this":[40],"works":[41],"well":[42],"in":[43,63],"presence":[44],"voiced":[46],"speech,":[47],"where":[48],"excitation":[50],"can":[51,80,105],"be":[52,81,106],"represented":[53],"by":[54],"an":[55],"impulse":[56],"train,":[57],"and":[58,91,109],"creates":[59],"sparser":[61],"case":[65],"unvoiced":[67],"speech.":[68],"second":[70],"class":[71],"aims":[72],"at":[73],"finding":[74],"coefficients;":[77],"interesting":[78],"results":[79],"seen":[82],"applying":[83],"it":[84],"to":[85,100],"joint":[87],"estimation":[88],"long-term":[90],"short-term":[92],"predictors.":[93],"proposed":[95],"estimators":[96],"are":[97],"all":[98],"solutions":[99],"convex":[101,121],"optimization":[102,122],"problems,":[103],"solved":[107],"efficiently":[108],"reliably":[110],"using,":[111],"e.g.,":[112],"interior-point":[113],"methods.":[114],"Index":[115],"Terms:":[116],"prediction,":[118],"all-pole":[119],"modeling,":[120],"1.":[123]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
