{"id":"https://openalex.org/W2902142303","doi":"https://doi.org/10.23919/eusipco.2018.8553341","title":"Piano Legato-Pedal Onset Detection Based on a Sympathetic Resonance Measure","display_name":"Piano Legato-Pedal Onset Detection Based on a Sympathetic Resonance Measure","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2902142303","doi":"https://doi.org/10.23919/eusipco.2018.8553341","mag":"2902142303"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2018.8553341","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/54204/1/Liang%20Piano%20Legato-Pedal%202018%20Accepted.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086300914","display_name":"Beici Liang","orcid":"https://orcid.org/0000-0001-6922-721X"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Beici Liang","raw_affiliation_strings":["Centre for Digital Music, Queen Mary University of London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Centre for Digital Music, Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032485940","display_name":"Gy\u00f6rgy Fazekas","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gyorgy Fazekas","raw_affiliation_strings":["Centre for Digital Music, Queen Mary University of London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Centre for Digital Music, Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076173089","display_name":"M. Sandler","orcid":"https://orcid.org/0000-0002-5691-8107"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mark Sandler","raw_affiliation_strings":["Centre for Digital Music, Queen Mary University of London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Centre for Digital Music, Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086300914"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":0.6632,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70603538,"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":"2484","last_page":"2488"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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/T10860","display_name":"Speech and Audio Processing","score":0.9976999759674072,"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/piano","display_name":"Piano","score":0.5954723358154297},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5247060060501099},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.49527326226234436},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.47606414556503296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44693008065223694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4356222450733185},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3863484859466553},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3444843888282776},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3063480854034424},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1809076964855194},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17344510555267334},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1162169873714447}],"concepts":[{"id":"https://openalex.org/C124086623","wikidata":"https://www.wikidata.org/wiki/Q5994","display_name":"Piano","level":2,"score":0.5954723358154297},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5247060060501099},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.49527326226234436},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.47606414556503296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44693008065223694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4356222450733185},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3863484859466553},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3444843888282776},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3063480854034424},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1809076964855194},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17344510555267334},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1162169873714447}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/eusipco.2018.8553341","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/54204","is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/54204","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/54204/1/Liang%20Piano%20Legato-Pedal%202018%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/54204","is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/54204","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/54204/1/Liang%20Piano%20Legato-Pedal%202018%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8217561489","display_name":null,"funder_award_id":"EP/L019981/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2902142303.pdf","grobid_xml":"https://content.openalex.org/works/W2902142303.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W616844146","https://openalex.org/W636679260","https://openalex.org/W1505972262","https://openalex.org/W1561135842","https://openalex.org/W1571477232","https://openalex.org/W1596717185","https://openalex.org/W1916044666","https://openalex.org/W1965185077","https://openalex.org/W1973453202","https://openalex.org/W2037059399","https://openalex.org/W2041027316","https://openalex.org/W2062626830","https://openalex.org/W2087042312","https://openalex.org/W2105143211","https://openalex.org/W2110007838","https://openalex.org/W2135029798","https://openalex.org/W2142635246","https://openalex.org/W2261101852","https://openalex.org/W2296756383","https://openalex.org/W2531457347","https://openalex.org/W2578115757","https://openalex.org/W2605350855","https://openalex.org/W2763030910","https://openalex.org/W4244004906","https://openalex.org/W6619161135","https://openalex.org/W6633727632","https://openalex.org/W6634367950","https://openalex.org/W6680012447","https://openalex.org/W6696841990","https://openalex.org/W6728773792","https://openalex.org/W6732580748","https://openalex.org/W6744989863"],"related_works":["https://openalex.org/W2316271602","https://openalex.org/W2357375963","https://openalex.org/W607893370","https://openalex.org/W629160228","https://openalex.org/W584653787","https://openalex.org/W4362512397","https://openalex.org/W587444722","https://openalex.org/W2336023324","https://openalex.org/W2022713566","https://openalex.org/W633023889"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,23,38,47,61,68,76,83,100],"problem":[4],"of":[5,25,49,63,71,102],"legato":[6,77],"pedalling":[7,78],"technique":[8],"detection":[9,20],"in":[10],"polyphonic":[11],"piano":[12,42],"music":[13],"is":[14],"addressed.":[15],"We":[16,91],"propose":[17],"a":[18,33,40,94],"novel":[19],"method":[21],"exploiting":[22],"effect":[24],"sympathetic":[26,84],"resonance":[27,85],"which":[28,54],"can":[29],"be":[30],"enhanced":[31],"by":[32],"legato-pedal":[34,103],"onset.":[35],"To":[36],"measure":[37,86],"effect,":[39],"specific":[41],"transcription":[43],"was":[44],"performed":[45],"using":[46],"templates":[48],"pre-recorded":[50],"isolated":[51],"notes,":[52],"from":[53,89],"partial":[55],"frequencies":[56],"were":[57,87],"estimated.":[58],"This":[59],"promotes":[60],"acquisition":[62],"residual":[64],"components":[65],"associated":[66],"to":[67,75,98],"weak":[69],"co-excitation":[70],"damped":[72],"notes":[73],"due":[74],"technique.":[79],"Features":[80],"that":[81],"represent":[82],"extracted":[88],"residuals.":[90],"finally":[92],"used":[93],"logistic":[95],"regression":[96],"classifier":[97],"determine":[99],"existence":[101],"onsets.":[104]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}