{"id":"https://openalex.org/W2009623789","doi":"https://doi.org/10.1109/icnc.2013.6818205","title":"SNR estimation for clipped audio based on amplitude distribution","display_name":"SNR estimation for clipped audio based on amplitude distribution","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2009623789","doi":"https://doi.org/10.1109/icnc.2013.6818205","mag":"2009623789"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2013.6818205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2013.6818205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Ninth International Conference on Natural Computation (ICNC)","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/A5100320550","display_name":"Xiaoqing Liu","orcid":"https://orcid.org/0000-0003-1522-8457"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoqing Liu","raw_affiliation_strings":["Key Laboratory of Pervasive Computing, Tsinghua University, Beijing, China","Key Laboratory of Pervasive Computing, Ministry of Education, Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Pervasive Computing, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Key Laboratory of Pervasive Computing, Ministry of Education, Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405562","display_name":"Jia Jia","orcid":"https://orcid.org/0000-0001-8013-7290"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Jia","raw_affiliation_strings":["Key Laboratory of Pervasive Computing, Tsinghua University, Beijing, China","Key Laboratory of Pervasive Computing, Ministry of Education, Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Pervasive Computing, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Key Laboratory of Pervasive Computing, Ministry of Education, Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053661520","display_name":"Lianhong Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianhong Cai","raw_affiliation_strings":["Key Laboratory of Pervasive Computing, Tsinghua University, Beijing, China","Key Laboratory of Pervasive Computing, Ministry of Education, Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Pervasive Computing, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Key Laboratory of Pervasive Computing, Ministry of Education, Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100320550"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.08287455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"6","issue":null,"first_page":"1434","last_page":"1438"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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":0.9997000098228455,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9966999888420105,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9952999949455261,"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/clipping","display_name":"Clipping (morphology)","score":0.8982980251312256},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.6351369023323059},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.5403627753257751},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5394618511199951},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.52286696434021},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49857068061828613},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4844372570514679},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.473061203956604},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4582902193069458},{"id":"https://openalex.org/keywords/digital-audio","display_name":"Digital audio","score":0.45519670844078064},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4490821063518524},{"id":"https://openalex.org/keywords/audio-signal-processing","display_name":"Audio signal processing","score":0.4486503601074219},{"id":"https://openalex.org/keywords/audio-signal-flow","display_name":"Audio signal flow","score":0.4321298599243164},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.4032377302646637},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3416464328765869},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2846333086490631},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21720826625823975},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.17672833800315857},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14743372797966003},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.104381263256073},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06939512491226196}],"concepts":[{"id":"https://openalex.org/C2776848632","wikidata":"https://www.wikidata.org/wiki/Q853463","display_name":"Clipping (morphology)","level":2,"score":0.8982980251312256},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.6351369023323059},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.5403627753257751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5394618511199951},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.52286696434021},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49857068061828613},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4844372570514679},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.473061203956604},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4582902193069458},{"id":"https://openalex.org/C87687168","wikidata":"https://www.wikidata.org/wiki/Q173114","display_name":"Digital audio","level":4,"score":0.45519670844078064},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4490821063518524},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.4486503601074219},{"id":"https://openalex.org/C167940747","wikidata":"https://www.wikidata.org/wiki/Q63727227","display_name":"Audio signal flow","level":5,"score":0.4321298599243164},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.4032377302646637},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3416464328765869},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2846333086490631},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21720826625823975},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.17672833800315857},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14743372797966003},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.104381263256073},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06939512491226196},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2013.6818205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2013.6818205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Ninth International Conference on Natural Computation (ICNC)","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":14,"referenced_works":["https://openalex.org/W1560210243","https://openalex.org/W1567379999","https://openalex.org/W1574170747","https://openalex.org/W1962715039","https://openalex.org/W1987907764","https://openalex.org/W2002310038","https://openalex.org/W2027720396","https://openalex.org/W2035826116","https://openalex.org/W2124213909","https://openalex.org/W2136853069","https://openalex.org/W2145614561","https://openalex.org/W2147567686","https://openalex.org/W2166529462","https://openalex.org/W6633854290"],"related_works":["https://openalex.org/W1975359510","https://openalex.org/W2069094726","https://openalex.org/W2088690926","https://openalex.org/W1833351015","https://openalex.org/W2363106653","https://openalex.org/W2289868279","https://openalex.org/W2898469868","https://openalex.org/W1564601668","https://openalex.org/W1496727373","https://openalex.org/W2146634268"],"abstract_inverted_index":{"Waveform":[0],"clipping":[1,36,58,123],"is":[2,93],"a":[3,40,135],"common":[4],"problem":[5],"in":[6,22,140,151],"digital":[7],"audio":[8,14,26,51,61,81,112],"signal":[9],"processing.":[10],"Clipping":[11],"changes":[12],"the":[13,23,32,35,50,57,68,71,86,89,97,104,107,119,122,141,152],"amplitude":[15,52,72,91,99],"distribution":[16],"and":[17,79,145],"creates":[18],"noise,":[19],"which":[20,116],"results":[21],"decrease":[24],"of":[25,34,45,60,77,110,121,138],"signal-to-noise":[27],"ratio":[28],"(SNR).":[29],"To":[30],"estimate":[31,96],"degree":[33,120],"effect,":[37],"we":[38],"propose":[39],"method":[41],"for":[42],"SNR":[43,109,153],"estimation":[44],"clipped":[46,80,90,142],"signals":[47,62,113],"base":[48],"on":[49,67,103,126],"distribution.":[53,100],"We":[54],"first":[55],"locate":[56],"intervals":[59],"with":[63],"high":[64],"precision":[65],"based":[66,102],"differences":[69],"between":[70],"probability":[73],"density":[74],"functions":[75],"(PDFs)":[76],"normal":[78],"signals.":[82],"Then,":[83],"by":[84],"using":[85],"Gamma":[87],"distribution,":[88],"PDF":[92],"restored":[94,105],"to":[95],"non-clipped":[98],"Finally,":[101],"PDF,":[106],"estimated":[108],"distorted":[111],"are":[114],"calculated,":[115],"can":[117,133],"indicate":[118],"effect.":[124],"Experiments":[125],"3200":[127],"audios":[128],"show":[129],"that":[130],"our":[131],"approach":[132],"achieve":[134],"low":[136],"error":[137,147],"0.017":[139],"values":[143],"locating,":[144],"an":[146],"less":[148],"than":[149],"0.5dB":[150],"estimation.":[154]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}