{"id":"https://openalex.org/W1972497289","doi":"https://doi.org/10.1109/lsp.2013.2284971","title":"Temporal Envelope Fit of Transient Audio Signals","display_name":"Temporal Envelope Fit of Transient Audio Signals","publication_year":2013,"publication_date":"2013-10-10","ids":{"openalex":"https://openalex.org/W1972497289","doi":"https://doi.org/10.1109/lsp.2013.2284971","mag":"1972497289"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2013.2284971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2013.2284971","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5073689885","display_name":"Arun Venkitaraman","orcid":"https://orcid.org/0000-0002-6470-896X"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Arun Venkitaraman","raw_affiliation_strings":["Indian Institute of Science, Bangalore, Karnataka, IN","[Dept. of Electr. Eng., Indian Inst. of Sci., Bangalore, India]"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science, Bangalore, Karnataka, IN","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Indian Inst. of Sci., Bangalore, India]","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005652970","display_name":"Chandra Sekhar Seelamantula","orcid":"https://orcid.org/0000-0001-9049-1912"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chandra Sekhar Seelamantula","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","[Dept. of Electr. Eng., Indian Inst. of Sci., Bangalore, India]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Indian Inst. of Sci., Bangalore, India]","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073689885"],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":0.3214,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.54451107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"20","issue":"12","first_page":"1191","last_page":"1194"},"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/T11309","display_name":"Music and Audio Processing","score":0.9994999766349792,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9945999979972839,"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/logarithm","display_name":"Logarithm","score":0.5924050211906433},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5235621333122253},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5113441348075867},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.43273162841796875},{"id":"https://openalex.org/keywords/envelope","display_name":"Envelope (radar)","score":0.4323320686817169},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.41778892278671265},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3789671063423157},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3698994815349579},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.16230517625808716},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12040203809738159},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09588748216629028}],"concepts":[{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.5924050211906433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5235621333122253},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5113441348075867},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.43273162841796875},{"id":"https://openalex.org/C65155139","wikidata":"https://www.wikidata.org/wiki/Q5380912","display_name":"Envelope (radar)","level":3,"score":0.4323320686817169},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.41778892278671265},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3789671063423157},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3698994815349579},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.16230517625808716},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12040203809738159},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09588748216629028},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2013.2284971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2013.2284971","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:eprints.iisc.ac.in:47775","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196309","display_name":"NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1493607906","https://openalex.org/W1510499811","https://openalex.org/W1594615639","https://openalex.org/W1814775863","https://openalex.org/W2003336922","https://openalex.org/W2029654180","https://openalex.org/W2089716537","https://openalex.org/W2093919938","https://openalex.org/W2117042504","https://openalex.org/W2144343635","https://openalex.org/W2147676440","https://openalex.org/W2152483743","https://openalex.org/W2973818247","https://openalex.org/W6682747227"],"related_works":["https://openalex.org/W2983473129","https://openalex.org/W2952185452","https://openalex.org/W2073227694","https://openalex.org/W2046736294","https://openalex.org/W1519526186","https://openalex.org/W2004357175","https://openalex.org/W2980815195","https://openalex.org/W4293584968","https://openalex.org/W2384758770","https://openalex.org/W2050473919"],"abstract_inverted_index":{"We":[0,12,62],"address":[1],"the":[2,14,25,52,55,64,74,86,106,110,135],"problem":[3,49,75],"of":[4,31,43,50,54,78,88,95,112],"temporal":[5,93],"envelope":[6,26,70],"modeling":[7,24],"for":[8,23,116],"transient":[9],"audio":[10,96],"signals.":[11],"propose":[13],"Gamma":[15],"distribution":[16],"function":[17],"(GDF)":[18],"as":[19,36],"a":[20,58,68,126],"suitable":[21],"candidate":[22],"keeping":[27],"in":[28,102],"view":[29],"some":[30],"its":[32],"interesting":[33],"properties":[34],"such":[35],"asymmetry,":[37],"causality,":[38],"near-optimal":[39],"time-bandwidth":[40],"product,":[41],"controllability":[42],"rise":[44],"and":[45,129],"decay,":[46],"etc.":[47],"The":[48,81],"finding":[51],"parameters":[53],"GDF":[56],"becomes":[57],"nonlinear":[59],"regression":[60],"problem.":[61],"overcome":[63],"hurdle":[65],"by":[66],"using":[67],"logarithmic":[69,82],"fit,":[71],"which":[72],"reduces":[73],"to":[76,104],"one":[77],"linear":[79],"regression.":[80,117],"transformation":[83],"also":[84],"has":[85],"feature":[87],"dynamic":[89],"range":[90],"compression.":[91],"Since":[92],"envelopes":[94],"signals":[97],"are":[98],"not":[99],"uniformly":[100],"distributed,":[101],"order":[103],"compute":[105],"amplitude,":[107],"we":[108,124,132],"investigate":[109],"importance":[111],"various":[113],"loss":[114,146],"functions":[115],"Based":[118],"on":[119],"synthesized":[120],"data":[121],"experiments,":[122],"wherein":[123],"have":[125],"ground":[127],"truth,":[128],"real-world":[130],"signals,":[131],"observe":[133],"that":[134],"least-squares":[136],"technique":[137],"gives":[138],"reasonably":[139],"accurate":[140],"amplitude":[141],"estimates":[142],"compared":[143],"with":[144],"other":[145],"functions.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
