{"id":"https://openalex.org/W115814225","doi":"https://doi.org/10.21437/interspeech.2004-714","title":"Optimizing regression for in-car speech recognition using multiple distributed microphones","display_name":"Optimizing regression for in-car speech recognition using multiple distributed microphones","publication_year":2004,"publication_date":"2004-10-04","ids":{"openalex":"https://openalex.org/W115814225","doi":"https://doi.org/10.21437/interspeech.2004-714","mag":"115814225"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2004-714","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2004","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/A5008726578","display_name":"Weifeng Li","orcid":"https://orcid.org/0000-0002-2105-3596"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Weifeng Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021756192","display_name":"Fumitada Itakura","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fumitada Itakura","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5042118446","display_name":"Kazuya Takeda","orcid":"https://orcid.org/0000-0002-0330-1787"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kazuya Takeda","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008726578"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5609,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63563801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2689","last_page":"2692"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9994000196456909,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9966999888420105,"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":0.7263253331184387},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6878876090049744},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.6631143689155579},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.599669873714447},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.500042200088501},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.47331511974334717},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4705488979816437},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4582388401031494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42475730180740356},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2677120566368103},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13233879208564758},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11432787775993347}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7263253331184387},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6878876090049744},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.6631143689155579},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.599669873714447},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.500042200088501},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.47331511974334717},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4705488979816437},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4582388401031494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42475730180740356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2677120566368103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13233879208564758},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11432787775993347},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2004-714","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2004","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":5,"referenced_works":["https://openalex.org/W167740218","https://openalex.org/W2101609516","https://openalex.org/W2115107141","https://openalex.org/W2117071049","https://openalex.org/W2124776405"],"related_works":["https://openalex.org/W2610868774","https://openalex.org/W4399767649","https://openalex.org/W2092994918","https://openalex.org/W3216594821","https://openalex.org/W2390006526","https://openalex.org/W31220157","https://openalex.org/W3215700490","https://openalex.org/W1915333409","https://openalex.org/W2393341384","https://openalex.org/W2312753042"],"abstract_inverted_index":{"In":[0,21,42],"this":[1,43],"paper,":[2,44],"we":[3,24],"address":[4],"issues":[5],"in":[6,12,104],"improving":[7],"handsfree":[8],"speech":[9,37],"recognition":[10,54,68,108],"performance":[11],"different":[13],"car":[14,58],"environments":[15,59],"using":[16,82],"multiple":[17,26],"spatially":[18],"distributed":[19],"microphones.":[20],"previous":[22],"work,":[23],"proposed":[25,88],"regression":[27,85,92],"of":[28,36,106],"the":[29,34,45,64,83],"log-spectra":[30],"(MRLS)":[31],"for":[32,76],"estimating":[33],"logspectra":[35],"at":[38],"a":[39],"close-talking":[40],"microphone.":[41],"idea":[46],"is":[47],"extended":[48],"to":[49,63],"nonlinear":[50],"regressions.":[51],"Isolated":[52],"word":[53],"experiments":[55],"under":[56],"real":[57],"show":[60],"that,":[61],"compared":[62],"nearest":[65],"distant":[66],"microphone,":[67],"accuracies":[69],"could":[70],"be":[71],"improved":[72],"by":[73,81,99],"about":[74],"40%":[75],"very":[77],"noisy":[78],"driving":[79],"conditions":[80],"optimizing":[84],"method,":[86],"The":[87],"approach":[89],"outperforms":[90,96],"linear":[91],"methods":[93],"and":[94,101],"also":[95],"adaptive":[97],"beamformer":[98],"8%":[100],"3%":[102],"respectively":[103],"terms":[105],"averaged":[107],"accuracies.":[109]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
