{"id":"https://openalex.org/W196401904","doi":"https://doi.org/10.21437/interspeech.2006-480","title":"Boosting HMM performance with a memory upgrade","display_name":"Boosting HMM performance with a memory upgrade","publication_year":2006,"publication_date":"2006-09-17","ids":{"openalex":"https://openalex.org/W196401904","doi":"https://doi.org/10.21437/interspeech.2006-480","mag":"196401904"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2006-480","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2006-480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2006","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/bitstream/123456789/169061/1/main.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072605828","display_name":"Mathias De Wachter","orcid":null},"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":"Mathias De Wachter","raw_affiliation_strings":["Katholieke Universiteit \u00adLeuven"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Katholieke Universiteit \u00adLeuven","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046536366","display_name":"Kris Demuynck","orcid":"https://orcid.org/0000-0001-8525-7160"},"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":"Kris Demuynck","raw_affiliation_strings":["Katholieke Universiteit \u00adLeuven"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Katholieke Universiteit \u00adLeuven","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041039488","display_name":"Dirk Van Compernolle","orcid":"https://orcid.org/0000-0003-0075-848X"},"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":"Dirk Van Compernolle","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":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7976,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90319339,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"paper 1126","last_page":"Wed2A2O.4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9977999925613403,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.9498677253723145},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7545042037963867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.753966212272644},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7431343197822571},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6390931010246277},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.6148947477340698},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.6020727753639221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4874425232410431},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41362473368644714},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.083924800157547}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.9498677253723145},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7545042037963867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.753966212272644},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7431343197822571},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6390931010246277},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.6148947477340698},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.6020727753639221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4874425232410431},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41362473368644714},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.083924800157547},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2006-480","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2006-480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2006","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/169061","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/169061","pdf_url":"https://lirias.kuleuven.be/bitstream/123456789/169061/1/main.pdf","source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"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":"international conference on spoken language processing - ICSLP 2006, Pittsburgh, PA, USA, 2006","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/169061","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/169061","pdf_url":"https://lirias.kuleuven.be/bitstream/123456789/169061/1/main.pdf","source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"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":"international conference on spoken language processing - ICSLP 2006, Pittsburgh, PA, USA, 2006","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4000000059604645,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321730","display_name":"Fonds Wetenschappelijk Onderzoek","ror":"https://ror.org/03qtxy027"},{"id":"https://openalex.org/F4320327336","display_name":"Vlaamse regering","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W196401904.pdf","grobid_xml":"https://content.openalex.org/works/W196401904.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W129152403","https://openalex.org/W148046306","https://openalex.org/W156258841","https://openalex.org/W156877865","https://openalex.org/W1494243555","https://openalex.org/W2043547528","https://openalex.org/W2079577056","https://openalex.org/W2083393647","https://openalex.org/W2083811208","https://openalex.org/W2095959744","https://openalex.org/W2107223151","https://openalex.org/W2120448516","https://openalex.org/W2407101744"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W4231274751","https://openalex.org/W1549363203","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W2053269318","https://openalex.org/W1489772951","https://openalex.org/W2364370872","https://openalex.org/W2153098279"],"abstract_inverted_index":{"The":[0,9],"state-of-the-art":[1],"in":[2],"automatic":[3],"speech":[4,78],"recognition":[5,56,79],"is":[6,37,80,97],"distinctly":[7],"Markovian.":[8],"ubiquitous":[10],"'beads-on-a-string'":[11],"approach,":[12],"where":[13],"sentences":[14],"are":[15],"explained":[16],"as":[17,23,30],"a":[18,24,31,41,52],"sequence":[19,25,32],"of":[20,26,33,43,63],"words,":[21],"words":[22],"phones":[27,29],"and":[28,75,91],"acoustically":[34],"stable":[35],"states,":[36],"bound":[38],"to":[39,60,69],"lose":[40],"lot":[42],"dynamic":[44],"information.":[45,65],"In":[46],"this":[47],"paper":[48],"we":[49],"show":[50,83],"that":[51,64,84,93],"combination":[53,86],"with":[54],"example-based":[55],"can":[57],"be":[58],"used":[59],"recapture":[61],"some":[62],"A":[66],"new":[67],"approach":[68],"combine":[70],"Hidden":[71],"Markov":[72],"Model":[73],"(HMM)":[74],"phone-examplebased":[76],"continuous":[77],"presented.":[81],"Experiments":[82],"the":[85,88],"outperforms":[87],"HMM":[89],"recognizer,":[90],"indicate":[92],"adding":[94],"long-span":[95],"information":[96],"especially":[98],"beneficial.":[99]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}