{"id":"https://openalex.org/W8319094","doi":null,"title":"Detection and modeling of transient audio signals with prior information","display_name":"Detection and modeling of transient audio signals with prior information","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W8319094","mag":"8319094"},"language":"en","primary_location":{"id":"mag:8319094","doi":null,"is_oa":false,"landing_page_url":"http://dl.acm.org/citation.cfm?id=1123693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"book","is_traditional":true,"indexed_in":[],"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/A5015837093","display_name":"Julius O. Smith","orcid":"https://orcid.org/0000-0002-5251-2935","observed_orcids":["https://orcid.org/0000-0002-5251-2935"]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julius O. Smith","raw_affiliation_strings":["Stanford University"],"raw_orcid":"https://orcid.org/0000-0002-5251-2935","affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062801525","display_name":"Harvey D. Thornburg","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harvey Thornburg","raw_affiliation_strings":["Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":1.1549,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.80327869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9990000128746033,"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/T11309","display_name":"Music and Audio Processing","score":0.9990000128746033,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/1210","display_name":"Music"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":9.999999747378752e-05,"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/transient-detection","display_name":"transient detection","score":0.9769999980926514},{"id":"https://openalex.org/keywords/dynamic-bayesian-networks","display_name":"dynamic Bayesian networks","score":0.5080000162124634},{"id":"https://openalex.org/keywords/melody-retrieval","display_name":"melody retrieval","score":0.7509999871253967},{"id":"https://openalex.org/keywords/pitch-estimation","display_name":"fundamental frequency estimation","score":0.46299999952316284},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.8100000023841858}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6915123462677002},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.6539183259010315},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.607501745223999},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5567394495010376},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5133652091026306},{"id":"https://openalex.org/C160372630","wikidata":"https://www.wikidata.org/wiki/Q4819855","display_name":"Audio analyzer","level":5,"score":0.4913257658481598},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4911188781261444},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4832761883735657},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.4647620916366577},{"id":"https://openalex.org/C135622632","wikidata":"https://www.wikidata.org/wiki/Q7198851","display_name":"Pitch detection algorithm","level":3,"score":0.4402756094932556},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.4011673927307129},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.3787637948989868},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3506026864051819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.338265597820282},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.2610594630241394},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.24023717641830444},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0884871780872345},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:8319094","doi":null,"is_oa":false,"landing_page_url":"http://dl.acm.org/citation.cfm?id=1123693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":87,"referenced_works":["https://openalex.org/W32801842","https://openalex.org/W37699876","https://openalex.org/W44499633","https://openalex.org/W66130982","https://openalex.org/W198829083","https://openalex.org/W429587937","https://openalex.org/W1491742974","https://openalex.org/W1502560247","https://openalex.org/W1504066297","https://openalex.org/W1515584651","https://openalex.org/W1532956126","https://openalex.org/W1544729927","https://openalex.org/W1545060512","https://openalex.org/W1554663460","https://openalex.org/W1569542462","https://openalex.org/W1575556605","https://openalex.org/W1590995015","https://openalex.org/W1592066919","https://openalex.org/W1593916594","https://openalex.org/W1600825139","https://openalex.org/W1605982637","https://openalex.org/W1623821838","https://openalex.org/W1645796660","https://openalex.org/W1667440604","https://openalex.org/W1696644198","https://openalex.org/W1775437311","https://openalex.org/W1820572612","https://openalex.org/W1850188872","https://openalex.org/W1950396994","https://openalex.org/W1965185077","https://openalex.org/W1970308149","https://openalex.org/W1972069485","https://openalex.org/W1973730439","https://openalex.org/W1982942585","https://openalex.org/W1989344925","https://openalex.org/W1999949665","https://openalex.org/W2001188690","https://openalex.org/W2013020033","https://openalex.org/W2018490621","https://openalex.org/W2023543171","https://openalex.org/W2025777398","https://openalex.org/W2030639849","https://openalex.org/W2045034970","https://openalex.org/W2046513060","https://openalex.org/W2046584898","https://openalex.org/W2049633694","https://openalex.org/W2055309049","https://openalex.org/W2070902649","https://openalex.org/W2090621740","https://openalex.org/W2093824445","https://openalex.org/W2097645910","https://openalex.org/W2099111195","https://openalex.org/W2101858531","https://openalex.org/W2106442041","https://openalex.org/W2106883686","https://openalex.org/W2114103002","https://openalex.org/W2114640443","https://openalex.org/W2115026158","https://openalex.org/W2115307058","https://openalex.org/W2116428736","https://openalex.org/W2116523794","https://openalex.org/W2121209303","https://openalex.org/W2123279006","https://openalex.org/W2125838338","https://openalex.org/W2130082697","https://openalex.org/W2131393611","https://openalex.org/W2134025364","https://openalex.org/W2138351309","https://openalex.org/W2144418681","https://openalex.org/W2145381462","https://openalex.org/W2150205203","https://openalex.org/W2152324136","https://openalex.org/W2160537075","https://openalex.org/W2162904060","https://openalex.org/W2164764235","https://openalex.org/W2166841940","https://openalex.org/W2168510624","https://openalex.org/W2272913484","https://openalex.org/W2294317068","https://openalex.org/W2392029795","https://openalex.org/W2504165400","https://openalex.org/W2973818247","https://openalex.org/W2995875879","https://openalex.org/W3016435735","https://openalex.org/W3152128808","https://openalex.org/W3167056017","https://openalex.org/W4235716345"],"related_works":["https://openalex.org/W6912812848","https://openalex.org/W302366195","https://openalex.org/W7043445309","https://openalex.org/W7096630192","https://openalex.org/W53628529","https://openalex.org/W3140762622","https://openalex.org/W1559077087","https://openalex.org/W1581433892","https://openalex.org/W2112968289","https://openalex.org/W3102311433"],"abstract_inverted_index":{"Many":[0],"musical":[1,119,122,171],"audio":[2,21],"signals":[3,123],"are":[4,124],"well":[5,286],"represented":[6],"as":[7,52,159,285,287],"a":[8,94,182,210,230,264,299,314],"sum":[9],"of":[10,133,137,146,166,176,233,267,301,308],"sinusoids":[11],"with":[12,170,195,327],"slowly":[13],"varying":[14],"parameters.":[15],"This":[16],"representation":[17],"has":[18],"uses":[19],"in":[20,84,131,144,155,198,253,305],"coding,":[22],"time":[23,85,105],"and":[24,28,72,86,106,117,140,148,164,173,213,226,282,291],"pitch":[25,87,107,160,273],"scale":[26,88],"modification,":[27],"automated":[29],"music":[30],"analysis,":[31],"among":[32],"other":[33],"areas.":[34],"Transients":[35],"(events":[36],"where":[37],"the":[38,128,134,162,174,306],"spectral":[39,47],"content":[40,48,274],"changes":[41],"abruptly,":[42],"or":[43],"regions":[44],"for":[45,59,114,188,216],"which":[46,98,189,322],"is":[49,186,209,241,261,320],"best":[50],"modeled":[51],"undergoing":[53],"persistent":[54],"change)":[55],"pose":[56],"particular":[57],"challenges":[58],"these":[60,77,205,234],"applications.":[61],"We":[62],"aim":[63],"to":[64,80,200,244,280,311],"detect":[65],"abrupt-change":[66,167],"transients,":[67],"identify":[68],"transient":[69,102,177],"region":[70],"boundaries,":[71],"develop":[73],"new":[74],"representations":[75],"utilizing":[76],"detection":[78,110],"capabilities":[79],"reduce":[81],"perceived":[82],"artifacts":[83],"modifications.":[89,108],"In":[90],"particular,":[91],"we":[92],"introduce":[93],"hybrid":[95],"sinusoidal/source-filter":[96],"model":[97,266,277],"faithfully":[99],"reproduces":[100],"attack":[101],"characteristics":[103],"under":[104],"\r\nThe":[109,257],"tasks":[111],"prove":[112],"difficult":[113,246],"sufficiently":[115],"complex":[116],"heterogeneous":[118],"signals.":[120,219],"Fortunately,":[121],"highly":[125,254],"structured\u2014both":[126],"at":[127,141],"signal":[129,196],"level,":[130],"terms":[132,145],"spectrotemporal":[135],"structure":[136],"note":[138,223],"events,":[139],"higher":[142],"levels,":[143],"melody":[147,214],"rhythm.":[149],"These":[150],"structures":[151],"generate":[152],"context":[153],"useful":[154],"predicting":[156],"attributes":[157],"such":[158],"content,":[161],"presence":[163],"location":[165],"transients":[168],"associated":[169],"onsets,":[172],"boundaries":[175,225],"regions.":[178,238],"To":[179],"this":[180],"end,":[181],"dynamic":[183],"Bayesian":[184],"framework":[185],"proposed":[187,258],"contextual":[190],"predictions":[191],"may":[192],"be":[193],"integrated":[194],"information":[197],"order":[199],"make":[201],"optimal":[202],"decisions":[203],"concerning":[204],"attributes.":[206],"The":[207,220,239,276,293],"result":[208],"joint":[211],"segmentation":[212],"retrieval":[215],"nominally":[217],"monophonic":[218],"system":[221],"detects":[222],"event":[224],"pitches,":[227],"also":[228],"yielding":[229],"frame-level":[231],"sub-segmentation":[232],"events":[235],"into":[236],"transient/steady-state":[237],"approach":[240],"successfully":[242],"applied":[243],"notoriously":[245],"examples":[247],"like":[248],"bowed":[249],"string":[250],"recordings":[251],"captured":[252],"reverberant":[255],"environments.":[256],"transcription":[259],"engine":[260],"driven":[262],"by":[263],"probabilistic":[265],"short-time":[268],"Fourier":[269],"transform":[270],"peaks":[271,284],"given":[272],"hypotheses.":[275],"proves":[278],"robust":[279],"missing":[281],"spurious":[283],"uncertainties":[288],"about":[289],"timbre":[290],"inharmonicity.":[292],"peaks'":[294],"likelihood":[295],"evaluation":[296],"marginalizes":[297],"over":[298],"number":[300,307],"observation-template":[302],"linkages":[303],"exponential":[304],"observed":[309],"peaks;":[310],"remedy":[312],"this,":[313],"Markov-chain":[315],"Monte":[316],"Carlo":[317],"(MCMC)":[318],"traversal":[319],"developed":[321],"yields":[323],"virtually":[324],"identical":[325],"results":[326],"greatly":[328],"reduced":[329],"computation.":[330]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
