{"id":"https://openalex.org/W4300600847","doi":"https://doi.org/10.21437/icslp.1996-342","title":"Robust automatic speech recognition using a multi-channel signal separation front-end","display_name":"Robust automatic speech recognition using a multi-channel signal separation front-end","publication_year":1996,"publication_date":"1996-10-03","ids":{"openalex":"https://openalex.org/W4300600847","doi":"https://doi.org/10.21437/icslp.1996-342"},"language":"en","primary_location":{"id":"doi:10.21437/icslp.1996-342","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.1996-342","pdf_url":null,"source":{"id":"https://openalex.org/S4363607739","display_name":"4th International Conference on Spoken Language Processing (ICSLP 1996)","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":"4th International Conference on Spoken Language Processing (ICSLP 1996)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5112869955","display_name":"Kuan-Chieh Yen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuan-Chieh Yen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5033518479","display_name":"Yunxin Zhao","orcid":"https://orcid.org/0000-0001-5511-3692"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunxin Zhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51826793,"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":"1337","last_page":"1340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"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":0.9984999895095825,"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/computer-science","display_name":"Computer science","score":0.6524322032928467},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6142764687538147},{"id":"https://openalex.org/keywords/front-and-back-ends","display_name":"Front and back ends","score":0.5815690755844116},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.556304931640625},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5072321891784668},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4605843424797058},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13994100689888}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6524322032928467},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6142764687538147},{"id":"https://openalex.org/C53016008","wikidata":"https://www.wikidata.org/wiki/Q620167","display_name":"Front and back ends","level":2,"score":0.5815690755844116},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.556304931640625},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5072321891784668},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4605843424797058},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13994100689888},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/icslp.1996-342","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.1996-342","pdf_url":null,"source":{"id":"https://openalex.org/S4363607739","display_name":"4th International Conference on Spoken Language Processing (ICSLP 1996)","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":"4th International Conference on Spoken Language Processing (ICSLP 1996)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1997418877","https://openalex.org/W2079323150","https://openalex.org/W2097242476","https://openalex.org/W2130322773","https://openalex.org/W2130484787","https://openalex.org/W2162362731"],"related_works":["https://openalex.org/W2071676784","https://openalex.org/W4292513318","https://openalex.org/W2287611352","https://openalex.org/W320684304","https://openalex.org/W1509352139","https://openalex.org/W4385464961","https://openalex.org/W4308092240","https://openalex.org/W2060903012","https://openalex.org/W2021161555","https://openalex.org/W2791440692"],"abstract_inverted_index":{"A":[0],"multi-channel":[1],"signal":[2,38],"separation":[3],"front-end":[4,50],"for":[5,70],"robust":[6],"automatic":[7],"speech":[8,16,58],"recognition":[9,59,94],"under":[10],"time-varying":[11],"interference":[12],"conditions":[13,85],"is":[14,51],"developed.The":[15],"signals":[17,65],"acquired":[18],"by":[19,25,32,61],"a":[20,33,72],"dual-channel":[21],"system":[22,60,79],"are":[23,96],"restored":[24,64],"adaptive":[26],"decorrelation":[27],"filtering,":[28],"and":[29],"then":[30],"examined":[31],"time-domain":[34],"or":[35],"frequency-domain":[36],"source":[37,48],"detection":[39],"technique":[40],"to":[41,99],"determine":[42],"the":[43,63,67,77,84,91,102],"active":[44,68],"regions":[45,69],"of":[46,101],"each":[47],"signal.The":[49],"integrated":[52],"with":[53,86],"an":[54],"HMM-based":[55],"speaker-independent":[56],"continuous":[57],"providing":[62],"within":[66],"recognition.Under":[71],"simulated":[73],"room":[74],"acoustic":[75],"condition,":[76],"overall":[78],"shows":[80],"very":[81,97],"promising":[82],"performance.For":[83],"SNR":[87],"above":[88],"-10":[89],"dB,":[90],"achieved":[92],"word":[93],"accuracies":[95],"close":[98],"that":[100],"interference-free":[103],"condition.":[104]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}