{"id":"https://openalex.org/W2304230295","doi":"https://doi.org/10.1109/kst.2016.7440486","title":"Improving noise estimation with RAPT pitch voice activity detection under low SNR condition","display_name":"Improving noise estimation with RAPT pitch voice activity detection under low SNR condition","publication_year":2016,"publication_date":"2016-02-01","ids":{"openalex":"https://openalex.org/W2304230295","doi":"https://doi.org/10.1109/kst.2016.7440486","mag":"2304230295"},"language":"en","primary_location":{"id":"doi:10.1109/kst.2016.7440486","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst.2016.7440486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th International Conference on Knowledge and Smart Technology (KST)","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/A5018777919","display_name":"Supasit Chuwatthananurux","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Supasit Chuwatthananurux","raw_affiliation_strings":["Department of Mathematics and Computer Science Faculty of Science, Chulalongkorn University, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science Faculty of Science, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037486902","display_name":"Dittaya Wanvarie","orcid":"https://orcid.org/0000-0002-4007-1124"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Dittaya Wanvarie","raw_affiliation_strings":["Department of Mathematics and Computer Science Faculty of Science, Chulalongkorn University, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science Faculty of Science, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018777919"],"corresponding_institution_ids":["https://openalex.org/I158708052"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.01053948,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"77","last_page":"82"},"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/T11309","display_name":"Music and Audio Processing","score":0.996999979019165,"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/noise","display_name":"Noise (video)","score":0.6560788154602051},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.6197654604911804},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.609804630279541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6048046946525574},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.6041227579116821},{"id":"https://openalex.org/keywords/noise-power","display_name":"Noise power","score":0.5629908442497253},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5345439314842224},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5321295261383057},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.5251700282096863},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5004255771636963},{"id":"https://openalex.org/keywords/pitch-detection-algorithm","display_name":"Pitch detection algorithm","score":0.49769189953804016},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.48929330706596375},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.475948303937912},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4271542429924011},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.4124101996421814},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.41078075766563416},{"id":"https://openalex.org/keywords/background-noise","display_name":"Background noise","score":0.3983563780784607},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3822513222694397},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3221331238746643},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.3073984384536743},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.2798740863800049},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23054078221321106},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14264869689941406},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11957800388336182}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6560788154602051},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.6197654604911804},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.609804630279541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6048046946525574},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.6041227579116821},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.5629908442497253},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5345439314842224},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5321295261383057},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.5251700282096863},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5004255771636963},{"id":"https://openalex.org/C135622632","wikidata":"https://www.wikidata.org/wiki/Q7198851","display_name":"Pitch detection algorithm","level":3,"score":0.49769189953804016},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.48929330706596375},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.475948303937912},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4271542429924011},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.4124101996421814},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.41078075766563416},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.3983563780784607},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3822513222694397},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3221331238746643},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.3073984384536743},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2798740863800049},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23054078221321106},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14264869689941406},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11957800388336182},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kst.2016.7440486","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst.2016.7440486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th International Conference on Knowledge and Smart Technology (KST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W72012584","https://openalex.org/W1995966271","https://openalex.org/W2015069270","https://openalex.org/W2072941421","https://openalex.org/W2084178137","https://openalex.org/W2142947058","https://openalex.org/W2169147844","https://openalex.org/W2397375888","https://openalex.org/W4251346524","https://openalex.org/W6649115928","https://openalex.org/W6712344080"],"related_works":["https://openalex.org/W2294333436","https://openalex.org/W2165935979","https://openalex.org/W2653598178","https://openalex.org/W1990055248","https://openalex.org/W2747006289","https://openalex.org/W4252682934","https://openalex.org/W2851491717","https://openalex.org/W1528673422","https://openalex.org/W2135485548","https://openalex.org/W2373767407"],"abstract_inverted_index":{"Noise":[0],"spectrum":[1,38,186],"estimation":[2,25,180,196],"is":[3,39,80,116,173],"a":[4,71,74,128],"fundamental":[5],"component":[6],"of":[7,45,50],"speech":[8,11,75,104,120],"enhancement":[9],"and":[10,83,149,194],"recognition":[12],"systems.":[13],"In":[14],"this":[15,93],"paper,":[16],"we":[17,95],"present":[18],"pitch":[19,114],"voice":[20,98,155],"activity":[21,99,121,156],"detection":[22],"for":[23,137],"noise":[24,36,56,85],"in":[26,106,118,122,157],"the":[27,30,42,48,51,55,62,67,77,84,103,107,113,123,134,143,146,158,165,170,195,200],"input":[28,159],"with":[29,142],"low":[31,129,162],"signal-to-noise":[32],"ratio":[33,144],"(SNR).":[34],"The":[35,175],"power":[37,46,79,148,152,202],"approximated":[40],"by":[41],"minimum":[43,150],"level":[44,57,86],"over":[47],"period":[49,72],"mixed":[52,124],"signal.":[53],"Since":[54],"may":[58],"not":[59],"be":[60,89],"stationary,":[61],"algorithm":[63,172,177],"should":[64],"regularly":[65],"update":[66],"estimation.":[68],"However,":[69],"when":[70,182],"contains":[73],"signal,":[76],"spectral":[78,151,201],"rather":[81],"high,":[82],"tends":[87],"to":[88,101,153,184],"overestimated.":[90],"To":[91],"avoid":[92],"problem,":[94],"firstly":[96],"use":[97],"detector":[100],"detect":[102],"presence":[105],"signal":[108,125],"period.":[109],"We":[110,132],"propose":[111],"that":[112,169],"information":[115],"efficient":[117],"identifying":[119],"even":[126],"under":[127],"SNR":[130,163],"condition.":[131],"adopt":[133],"Robust":[135],"Algorithm":[136],"Pitch":[138],"Tracking":[139],"(RAPT)":[140],"together":[141],"between":[145],"frame":[147],"classify":[154],"frame.":[160],"Under":[161],"condition,":[164],"experimental":[166],"result":[167],"showed":[168],"proposed":[171,176],"effective.":[174],"achieves":[178],"lower":[179],"errors":[181],"compared":[183],"Continuous":[185],"minima":[187],"tracking,":[188],"Minima":[189],"Control":[190],"Recursive":[191],"Averaging":[192],"(MCRA)":[193],"based":[197],"solely":[198],"on":[199],"ratio.":[203]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}