{"id":"https://openalex.org/W2431847047","doi":"https://doi.org/10.1109/siu.2016.7495864","title":"Denoising speech by notch filter and wavelet thresholding in real time","display_name":"Denoising speech by notch filter and wavelet thresholding in real time","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2431847047","doi":"https://doi.org/10.1109/siu.2016.7495864","mag":"2431847047"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2016.7495864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2016.7495864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th Signal Processing and Communication Application Conference (SIU)","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/A5033972169","display_name":"Mehmet Alper Oktar","orcid":null},"institutions":[{"id":"https://openalex.org/I178535277","display_name":"University of the West of England","ror":"https://ror.org/02nwg5t34","country_code":"GB","type":"education","lineage":["https://openalex.org/I178535277"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Mehmet Alper Oktar","raw_affiliation_strings":["University of the West of England Bristol, Bristol, Bristol, GB"],"affiliations":[{"raw_affiliation_string":"University of the West of England Bristol, Bristol, Bristol, GB","institution_ids":["https://openalex.org/I178535277"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102819800","display_name":"Mokhtar Nibouche","orcid":"https://orcid.org/0000-0003-0150-8087"},"institutions":[{"id":"https://openalex.org/I178535277","display_name":"University of the West of England","ror":"https://ror.org/02nwg5t34","country_code":"GB","type":"education","lineage":["https://openalex.org/I178535277"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mokhtar Nibouche","raw_affiliation_strings":["Faculty of Environment and Technology, University of the West of England, Bristol, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Faculty of Environment and Technology, University of the West of England, Bristol, United Kingdom","institution_ids":["https://openalex.org/I178535277"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037971293","display_name":"Yusuf Baltac\u0131","orcid":"https://orcid.org/0000-0002-0461-2130"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yusuf Baltaci","raw_affiliation_strings":["Xad Communications Ltd, Bristol, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Xad Communications Ltd, Bristol, United Kingdom","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033972169"],"corresponding_institution_ids":["https://openalex.org/I178535277"],"apc_list":null,"apc_paid":null,"fwci":1.0087,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76170061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"813","last_page":"816"},"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":0.998199999332428,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/speech-recognition","display_name":"Speech recognition","score":0.7182723879814148},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.6512534618377686},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6394667625427246},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6181809306144714},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.6099696159362793},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.5910650491714478},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5853821635246277},{"id":"https://openalex.org/keywords/intelligibility","display_name":"Intelligibility (philosophy)","score":0.5845859050750732},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5477787852287292},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.528223991394043},{"id":"https://openalex.org/keywords/salt-and-pepper-noise","display_name":"Salt-and-pepper noise","score":0.48249053955078125},{"id":"https://openalex.org/keywords/gradient-noise","display_name":"Gradient noise","score":0.43153858184814453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41550832986831665},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3820462226867676},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.2939987778663635},{"id":"https://openalex.org/keywords/noise-floor","display_name":"Noise floor","score":0.21993690729141235},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13999441266059875}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7182723879814148},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.6512534618377686},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6394667625427246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6181809306144714},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.6099696159362793},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5910650491714478},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5853821635246277},{"id":"https://openalex.org/C60048801","wikidata":"https://www.wikidata.org/wiki/Q1433889","display_name":"Intelligibility (philosophy)","level":2,"score":0.5845859050750732},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5477787852287292},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.528223991394043},{"id":"https://openalex.org/C113660513","wikidata":"https://www.wikidata.org/wiki/Q849379","display_name":"Salt-and-pepper noise","level":5,"score":0.48249053955078125},{"id":"https://openalex.org/C200378446","wikidata":"https://www.wikidata.org/wiki/Q4147391","display_name":"Gradient noise","level":5,"score":0.43153858184814453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41550832986831665},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3820462226867676},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.2939987778663635},{"id":"https://openalex.org/C187612029","wikidata":"https://www.wikidata.org/wiki/Q17083130","display_name":"Noise floor","level":4,"score":0.21993690729141235},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13999441266059875},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"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/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2016.7495864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2016.7495864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th Signal Processing and Communication Application Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W25676668","https://openalex.org/W2048745264","https://openalex.org/W2056877495","https://openalex.org/W2130202579","https://openalex.org/W2130813098","https://openalex.org/W2138969189","https://openalex.org/W2169502887","https://openalex.org/W6601019258","https://openalex.org/W6662522583","https://openalex.org/W6679253495","https://openalex.org/W6679369443"],"related_works":["https://openalex.org/W1986772939","https://openalex.org/W2037635165","https://openalex.org/W3000153094","https://openalex.org/W2542062716","https://openalex.org/W2738829087","https://openalex.org/W2027616686","https://openalex.org/W2116036791","https://openalex.org/W2811019791","https://openalex.org/W972036175","https://openalex.org/W2090859501"],"abstract_inverted_index":{"Real":[0],"time":[1],"speech":[2,11,25,34,51,74,96,112],"signal":[3,97],"noise":[4,61],"reduction":[5],"is":[6,35],"vital":[7],"to":[8,48,54],"improve":[9],"the":[10,33,55,58,64,67,94,111],"quality":[12,52],"and":[13,41,83,104,108],"intelligibility":[14],"for":[15],"human":[16],"listener.":[17],"Wavelet":[18],"thresholding":[19,46,82],"gives":[20],"good":[21],"results":[22,87],"in":[23],"denoising":[24],"corrupted":[26,36],"with":[27,37],"white":[28,42,105],"Gaussian":[29,43,106],"noise.":[30],"However,":[31],"if":[32],"both":[38],"fixed":[39,59,102],"frequency":[40,60,103],"noise,":[44,107],"wavelet":[45,81],"fails":[47],"generate":[49],"high":[50],"due":[53],"fact":[56],"that":[57,89],"components":[62],"corrupt":[63],"choice":[65],"of":[66,80],"threshold.":[68],"This":[69],"paper":[70],"presents":[71],"a":[72,78],"new":[73],"enhancement":[75],"approach":[76],"utilising":[77],"combination":[79],"notch":[84],"filter.":[85],"Experiment":[86],"show":[88],"this":[90],"algorithm":[91],"effectively":[92],"solved":[93],"serious":[95],"distortion":[98],"problem":[99],"caused":[100],"by":[101],"also":[109],"improved":[110],"quality.":[113]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}