{"id":"https://openalex.org/W2025212064","doi":"https://doi.org/10.1007/s10994-006-8458-5","title":"Bootstrap learning for accurate onset detection","display_name":"Bootstrap learning for accurate onset detection","publication_year":2006,"publication_date":"2006-05-08","ids":{"openalex":"https://openalex.org/W2025212064","doi":"https://doi.org/10.1007/s10994-006-8458-5","mag":"2025212064"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-006-8458-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-006-8458-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-006-8458-5.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-006-8458-5.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100783980","display_name":"Ning Hu","orcid":"https://orcid.org/0000-0002-6444-8467"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ning Hu","raw_affiliation_strings":["Google Inc. New York Office, 1440 Broadway, 21st Floor, New York, NY, 10018, United States","Google Inc. New York Office, New York, United States 10018#TAB#"],"affiliations":[{"raw_affiliation_string":"Google Inc. New York Office, 1440 Broadway, 21st Floor, New York, NY, 10018, United States","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Inc. New York Office, New York, United States 10018#TAB#","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000265897","display_name":"Roger B. Dannenberg","orcid":"https://orcid.org/0000-0003-1823-9856"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roger B. Dannenberg","raw_affiliation_strings":["Computer Science Department, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, 15213, United States","Computer Science Department, Carnegie Mellon University, Pittsburgh, United States 15213#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, 15213, United States","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Computer Science Department, Carnegie Mellon University, Pittsburgh, United States 15213#TAB#","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100783980"],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.2977,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78735885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"65","issue":"2-3","first_page":"457","last_page":"471"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music 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/T11309","display_name":"Music 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/T10860","display_name":"Speech and Audio Processing","score":0.9991000294685364,"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":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7650786638259888},{"id":"https://openalex.org/keywords/midi","display_name":"MIDI","score":0.737450361251831},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6940414905548096},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5958701372146606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5957249999046326},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5734183192253113},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5567613244056702},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.517927348613739},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5051797032356262},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48437508940696716},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4517282545566559}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7650786638259888},{"id":"https://openalex.org/C8112396","wikidata":"https://www.wikidata.org/wiki/Q80535","display_name":"MIDI","level":2,"score":0.737450361251831},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6940414905548096},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5958701372146606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5957249999046326},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5734183192253113},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5567613244056702},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.517927348613739},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5051797032356262},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48437508940696716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4517282545566559},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10994-006-8458-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-006-8458-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-006-8458-5.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10994-006-8458-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-006-8458-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-006-8458-5.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.699999988079071,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310207","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2025212064.pdf","grobid_xml":"https://content.openalex.org/works/W2025212064.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W85840116","https://openalex.org/W106639881","https://openalex.org/W140394387","https://openalex.org/W166844666","https://openalex.org/W185971256","https://openalex.org/W1489504608","https://openalex.org/W1549486140","https://openalex.org/W1601826143","https://openalex.org/W1907143431","https://openalex.org/W2039429895","https://openalex.org/W2042659457","https://openalex.org/W2111405353","https://openalex.org/W2121127941","https://openalex.org/W2125935583","https://openalex.org/W2151029520","https://openalex.org/W2152324136","https://openalex.org/W2153331925","https://openalex.org/W2164764235","https://openalex.org/W6635977151","https://openalex.org/W6660263164","https://openalex.org/W6679084306"],"related_works":["https://openalex.org/W3133630535","https://openalex.org/W2398084541","https://openalex.org/W4285232104","https://openalex.org/W4242364395","https://openalex.org/W2386555541","https://openalex.org/W3042962886","https://openalex.org/W2920621887","https://openalex.org/W2187442448","https://openalex.org/W889314198","https://openalex.org/W3107397794"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}