{"id":"https://openalex.org/W2157927195","doi":"https://doi.org/10.1109/icassp.2006.1660060","title":"A Low-Complexity Noise Suppressor with Nonuniform Subbands and a Frequency-Domain Highpass Filter","display_name":"A Low-Complexity Noise Suppressor with Nonuniform Subbands and a Frequency-Domain Highpass Filter","publication_year":2006,"publication_date":"2006-08-02","ids":{"openalex":"https://openalex.org/W2157927195","doi":"https://doi.org/10.1109/icassp.2006.1660060","mag":"2157927195"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2006.1660060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1660060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","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/A5006225110","display_name":"Masashi Kato","orcid":"https://orcid.org/0000-0002-2921-709X"},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Kato","raw_affiliation_strings":["Media and Information Research Labs, NEC Corporation Limited, Kawasaki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Media and Information Research Labs, NEC Corporation Limited, Kawasaki, Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088165413","display_name":"Akihiko Sugiyama","orcid":"https://orcid.org/0000-0002-4296-3935"},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"A. Sugiyama","raw_affiliation_strings":["Media and Information Research Labs, NEC Corporation Limited, Kawasaki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Media and Information Research Labs, NEC Corporation Limited, Kawasaki, Japan","institution_ids":["https://openalex.org/I118347220"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118347220"],"apc_list":null,"apc_paid":null,"fwci":2.2104,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.8862687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"I","last_page":"473"},"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":0.9994999766349792,"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/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/high-pass-filter","display_name":"High-pass filter","score":0.7364246845245361},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5682719349861145},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.516904354095459},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5123625993728638},{"id":"https://openalex.org/keywords/low-pass-filter","display_name":"Low-pass filter","score":0.5051119923591614},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.47520098090171814},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.41948190331459045},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3793271780014038},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22461268305778503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15940603613853455}],"concepts":[{"id":"https://openalex.org/C156137958","wikidata":"https://www.wikidata.org/wiki/Q262754","display_name":"High-pass filter","level":4,"score":0.7364246845245361},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5682719349861145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.516904354095459},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5123625993728638},{"id":"https://openalex.org/C44682112","wikidata":"https://www.wikidata.org/wiki/Q918242","display_name":"Low-pass filter","level":3,"score":0.5051119923591614},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.47520098090171814},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.41948190331459045},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3793271780014038},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22461268305778503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15940603613853455},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2006.1660060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1660060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","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":3,"referenced_works":["https://openalex.org/W2121973264","https://openalex.org/W2161924393","https://openalex.org/W3147539069"],"related_works":["https://openalex.org/W2900322080","https://openalex.org/W4289532594","https://openalex.org/W2180182164","https://openalex.org/W3199970339","https://openalex.org/W2538987256","https://openalex.org/W1971030621","https://openalex.org/W1534884398","https://openalex.org/W5997988","https://openalex.org/W2379501462","https://openalex.org/W2368876188"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,11,31,41],"low-complexity":[4,100],"noise":[5,101,115],"suppressor":[6,102,116],"with":[7,30,40],"nonuniform":[8],"subbands":[9],"and":[10],"frequency-domain":[12,42],"highpass":[13,16],"filter.":[14],"A":[15,62],"filter":[17],"to":[18,53,110],"suppress":[19],"undesirable":[20],"low":[21],"frequency":[22],"components":[23],"in":[24,36],"the":[25,37,55,59,72,91,99,107,113],"input":[26],"signal":[27],"is":[28,66,83,87],"replaced":[29],"simple":[32],"DC":[33],"offset":[34],"canceler":[35],"time-domain":[38],"combined":[39],"weighting":[43],"function.":[44],"Frequency":[45],"bins":[46],"after":[47],"Fourier":[48],"transform":[49],"are":[50],"nonuniformly":[51],"grouped":[52],"reduce":[54],"computations":[56],"for":[57,68],"calculating":[58],"spectral":[60],"gain.":[61],"new":[63],"decomposition":[64],"pattern":[65],"developed":[67],"higher":[69],"quality":[70,105],"of":[71,77,106,112],"enhanced":[73,108],"speech.":[74],"The":[75],"number":[76],"operations":[78],"on":[79],"typical":[80],"DSP":[81],"chips":[82],"3.2":[84],"MIPS":[85],"that":[86,98,111],"approximately":[88],"50%":[89],"off":[90],"conventional":[92,114],"load.":[93],"Subjective":[94],"evaluation":[95],"results":[96],"demonstrates":[97],"achieves":[103],"comparable":[104],"speech":[109]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}