iBet uBet
web content aggregator. Adding the entire web to your favor.
Link to original content:
https://api.openalex.org/works/doi:10.1109/ICASSP.2013.6639110
{"id":"https://openalex.org/W2093258380","doi":"https://doi.org/10.1109/icassp.2013.6639110","title":"Noise robust speech dereverberation with Kalman smoother","display_name":"Noise robust speech dereverberation with Kalman smoother","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2093258380","doi":"https://doi.org/10.1109/icassp.2013.6639110","mag":"2093258380"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639110","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5021883714","display_name":"Masahito Togami","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahito Togami","raw_affiliation_strings":["Central Res. Lab., Hitachi, Ltd., Kokubunji, Japan"],"affiliations":[{"raw_affiliation_string":"Central Res. Lab., Hitachi, Ltd., Kokubunji, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052394367","display_name":"Yohei Kawaguchi","orcid":"https://orcid.org/0000-0002-2329-5441"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yohei Kawaguchi","raw_affiliation_strings":["Central Res. Lab., Hitachi, Ltd., Kokubunji, Japan"],"affiliations":[{"raw_affiliation_string":"Central Res. Lab., Hitachi, Ltd., Kokubunji, Japan","institution_ids":["https://openalex.org/I65143321"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.841,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":17,"citation_normalized_percentile":{"value":0.885697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":90},"biblio":{"volume":null,"issue":null,"first_page":"7447","last_page":"7451"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech Enhancement Techniques","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 Enhancement Techniques","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":"Adaptive Filtering in Non-Gaussian Signal Processing","score":0.9991,"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 and Independent Component Analysis","score":0.9974,"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/reverberation","display_name":"Reverberation","score":0.528539},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.52588934},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise Reduction","score":0.512028},{"id":"https://openalex.org/keywords/audio-visual-speech-recognition","display_name":"Audio-Visual Speech Recognition","score":0.510326},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech Enhancement","score":0.506411},{"id":"https://openalex.org/keywords/signal-decomposition","display_name":"Signal Decomposition","score":0.503641}],"concepts":[{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.6333336},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.59669274},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5854301},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5420786},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.52588934},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5126061},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5012603},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5000148},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.43241048},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38676685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36545026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2305812},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15891585},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.15047336},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639110","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.72}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":12,"referenced_works":["https://openalex.org/W1626341607","https://openalex.org/W2014768838","https://openalex.org/W2045043668","https://openalex.org/W2049633694","https://openalex.org/W2107992675","https://openalex.org/W2112778229","https://openalex.org/W2122512809","https://openalex.org/W2130640611","https://openalex.org/W2143027228","https://openalex.org/W2164502538","https://openalex.org/W2526133235","https://openalex.org/W3023538971"],"related_works":["https://openalex.org/W2905188205","https://openalex.org/W2886934452","https://openalex.org/W2396048001","https://openalex.org/W2357191878","https://openalex.org/W2024369332","https://openalex.org/W1997078944","https://openalex.org/W1968065688","https://openalex.org/W1559044324","https://openalex.org/W1552846815","https://openalex.org/W1489099099"],"abstract_inverted_index":{"A":[0],"speech":[1,56,67,96,134],"dereverberation":[2],"method":[3,45,122,157],"is":[4,7,40,61,145,158],"proposed":[5,44,121,156],"that":[6,141,154],"robust":[8],"against":[9],"background":[10,41,62],"noise.":[11,63],"In":[12,83],"contrast":[13],"to":[14,130,160],"conventional":[15,161],"methods":[16,162],"based":[17],"on":[18,75],"the":[19,23,30,43,47,53,70,76,79,84,101,105,120,132,142,148,155],"linear":[20,31,50],"prediction":[21,32,51],"of":[22,52,78,89],"given":[24],"microphone":[25],"input":[26],"signal,":[27],"in":[28,147],"which":[29,92,109],"coefficients":[33,48],"are":[34,72,98,138],"not":[35],"fully":[36],"optimized":[37],"when":[38,59],"there":[39,60],"noise,":[42],"optimizes":[46],"by":[49],"noiseless":[54,65,94],"reverberant":[55,66,95],"signal":[57,68,97],"even":[58],"The":[64,136],"and":[69],"parameters":[71,137],"iteratively":[73],"updated":[74,139],"basis":[77],"expectation":[80,85],"maximization":[81,149],"algorithm.":[82],"step,":[86],"sufficient":[87],"statistics":[88],"latent":[90],"variables":[91],"include":[93],"estimated":[99],"using":[100],"Kalman":[102,107],"smoother.":[103],"Unlike":[104],"standard":[106],"smoother,":[108],"uses":[110],"a":[111,116,124],"time-invariant":[112],"covariance":[113,118,126],"matrix":[114],"as":[115],"state-transition":[117],"matrix,":[119,127],"utilizes":[123],"time-varying":[125,133],"enabling":[128],"it":[129],"meet":[131],"characteristics.":[135],"so":[140],"Q":[143],"function":[144],"increased":[146],"step.":[150],"Experimental":[151],"results":[152],"show":[153],"superior":[159],"under":[163],"noisy":[164],"conditions.":[165]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2093258380","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3}],"updated_date":"2024-12-02T05:01:39.944217","created_date":"2016-06-24"}
