{"id":"https://openalex.org/W2155515618","doi":"https://doi.org/10.1109/icassp.2005.1415694","title":"Training Ircam's Score Follower","display_name":"Training Ircam's Score Follower","publication_year":2006,"publication_date":"2006-10-11","ids":{"openalex":"https://openalex.org/W2155515618","doi":"https://doi.org/10.1109/icassp.2005.1415694","mag":"2155515618"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2005.1415694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1415694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"},"type":"preprint","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/A5010210485","display_name":"Arshia Cont","orcid":"https://orcid.org/0000-0002-7352-7212"},"institutions":[{"id":"https://openalex.org/I4210151555","display_name":"Centre Pompidou","ror":"https://ror.org/05e357p42","country_code":"FR","type":"archive","lineage":["https://openalex.org/I4210151555"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"A. Cont","raw_affiliation_strings":["Ircam-Centre Pompidou, Real time Applications Team, Paris, France"],"affiliations":[{"raw_affiliation_string":"Ircam-Centre Pompidou, Real time Applications Team, Paris, France","institution_ids":["https://openalex.org/I4210151555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064315678","display_name":"Diemo Schwarz","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151555","display_name":"Centre Pompidou","ror":"https://ror.org/05e357p42","country_code":"FR","type":"archive","lineage":["https://openalex.org/I4210151555"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"D. Schwarz","raw_affiliation_strings":["Ircam-Centre Pompidou, Real time Applications Team, Paris, France"],"affiliations":[{"raw_affiliation_string":"Ircam-Centre Pompidou, Real time Applications Team, Paris, France","institution_ids":["https://openalex.org/I4210151555"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110100931","display_name":"Norbert Schnell","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151555","display_name":"Centre Pompidou","ror":"https://ror.org/05e357p42","country_code":"FR","type":"archive","lineage":["https://openalex.org/I4210151555"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"N. Schnell","raw_affiliation_strings":["Ircam-Centre Pompidou, Real time Applications Team, Paris, France"],"affiliations":[{"raw_affiliation_string":"Ircam-Centre Pompidou, Real time Applications Team, Paris, France","institution_ids":["https://openalex.org/I4210151555"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010210485"],"corresponding_institution_ids":["https://openalex.org/I4210151555"],"apc_list":null,"apc_paid":null,"fwci":0.9589557,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75535824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"253","last_page":"256"},"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":0.9994999766349792,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9987000226974487,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.8822463750839233},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7669979333877563},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7551150321960449},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.6111335754394531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5728760957717896},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5117535591125488},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4997134208679199},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4765218496322632},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4693501889705658},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4245093762874603},{"id":"https://openalex.org/keywords/novelty-detection","display_name":"Novelty detection","score":0.41550716757774353},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4017632305622101}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8822463750839233},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7669979333877563},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7551150321960449},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.6111335754394531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5728760957717896},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5117535591125488},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4997134208679199},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4765218496322632},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4693501889705658},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4245093762874603},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.41550716757774353},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4017632305622101},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2005.1415694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1415694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W52977220","https://openalex.org/W127994334","https://openalex.org/W167520150","https://openalex.org/W1486632395","https://openalex.org/W1521585602","https://openalex.org/W1534285095","https://openalex.org/W2049633694","https://openalex.org/W2069883713","https://openalex.org/W2091425152","https://openalex.org/W2117345710","https://openalex.org/W2121232083","https://openalex.org/W2125935583","https://openalex.org/W2152324136","https://openalex.org/W2169189000","https://openalex.org/W3090152428","https://openalex.org/W3129711340","https://openalex.org/W6602150742","https://openalex.org/W6605238236","https://openalex.org/W6631159851","https://openalex.org/W6632009092","https://openalex.org/W6678265817","https://openalex.org/W6683201353"],"related_works":["https://openalex.org/W2064636555","https://openalex.org/W2585503716","https://openalex.org/W1939982668","https://openalex.org/W2105014086","https://openalex.org/W2076090200","https://openalex.org/W4312933423","https://openalex.org/W3025682415","https://openalex.org/W2167155152","https://openalex.org/W4324119469","https://openalex.org/W2081173909"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"our":[3],"attempt":[4],"to":[5,19,24,28],"make":[6],"the":[7,66,82,89,101,112],"hidden":[8],"Markov":[9],"model":[10],"(HMM)":[11],"score":[12,29],"following":[13],"system,":[14],"developed":[15,45],"at":[16],"Ircam,":[17],"sensible":[18],"past":[20],"experiences":[21],"in":[22,65,107],"order":[23],"obtain":[25],"better":[26,99],"audio":[27],"real-time":[30],"alignment":[31],"for":[32,74],"musical":[33],"applications.":[34],"A":[35],"new":[36,102],"observation":[37],"modeling":[38,81],"based":[39],"on":[40],"Gaussian":[41],"mixture":[42],"models":[43],"is":[44,47,77],"which":[46],"trainable":[48],"using":[49],"a":[50,108],"learning":[51],"algorithm":[52,114],"we":[53],"would":[54],"call":[55],"automatic":[56],"discriminative":[57],"training.":[58],"The":[59],"novelty":[60],"of":[61,91,118],"this":[62,69],"system":[63],"lies":[64],"fact":[67],"that":[68,94],"method,":[70],"unlike":[71],"classical":[72],"methods":[73],"HMM":[75],"training,":[76],"not":[78],"concerned":[79],"with":[80,86],"music":[83,92,119],"signal":[84],"but":[85],"correctly":[87],"choosing":[88],"sequence":[90],"events":[93],"was":[95],"performed.":[96],"Besides":[97],"obtaining":[98],"alignment,":[100],"system's":[103],"parameters":[104],"are":[105],"controllable":[106],"physical":[109],"manner":[110],"and":[111],"training":[113],"learns":[115],"different":[116],"styles":[117],"performance":[120],"as":[121],"discussed.":[122]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
