المؤلفون: Maciej Blaszke, Bożena Kostek

المصدر: Sensors; Volume 22; Issue 8; Pages: 3033

مصطلحات موضوعية: deep learning, musical instrument identification, musical information retrieval

وصف الملف: application/pdf

العلاقة: Intelligent Sensors; https://dx.doi.org/10.3390/s22083033Test

الإتاحة: https://doi.org/10.3390/s22083033Test

المؤلفون: Paolo Dell’Aversana, Gianluca Gabbriellini, Alfonso Iunio Marini, Alfonso Amendola

المصدر: AIMS Geosciences, Vol 2, Iss 4, Pp 413-425 (2016)

مصطلحات موضوعية: Seismic facies classification, sonification, audio video display, spectral decomposition, pattern recognition, musical information retrieval, MIDI, Geology, QE1-996.5

وصف الملف: electronic resource

العلاقة: http://www.aimspress.com/geosciences/article/1159/fulltext.htmlTest; https://doaj.org/toc/2471-2132Test

الوصول الحر: https://doaj.org/article/e0f7ce7e975d443a82ac4101cc013a29Test

المؤلفون: Viana, Luiz Alberto Guimarães

المساهمون: Fernandes Júnior, Antônio Carlos Lopes, http://lattes.cnpq.br/2586671440653430Test, http://lattes.cnpq.br/6012321412801915Test, Simas Filho, Eduardo Furtado de, Montalvão Filho, Jugurta Rosa, Prates, Ricardo Menezes, Attux, Romis Ribeiro de Fassoil

مصطلحات موضوعية: Andamento musical, Wavelet, Escalograma, Rede neural convolucional, Aumento artificial de dados, Audio tempo estimation, Musical tempo, Scalogram, Convolutional neural networks, Data augmentation, Musical information retrieval (MIR), CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA

وصف الملف: application/pdf

العلاقة: VIANA, Luiz Alberto Guimarães. Estimativa de Andamento Musical Através de Escalogramas Wavelet e Redes Neurais Convolucionais. 2023. 83f. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Federal da Bahia, Salvador, 2023.; https://repositorio.ufba.br/handle/ri/36909Test

الإتاحة: https://repositorio.ufba.br/handle/ri/36909Test

المؤلفون: Bigo, Louis

المساهمون: Giraud, Mathieu, Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

مصطلحات موضوعية: Recherche d'information musicale, Analyse musicale assistée par ordinateur, Composition musicale assistée par ordinateur, Partitions musicales -- Modélisation, Tablatures pour guitare -- Modélisation, Traitement automatique du langage naturel, Texture musicale, Intelligence artificielle -- Applications musicales, Musical information retrieval, Computer assisted music analysis, Computer assisted music composition, Scores modeling, Guitar tablatures modeling, Natural language processing, Musical texture, Artificial intelligence -- Musical applications

وصف الملف: application/pdf

العلاقة: École doctorale Mathématiques, sciences du numérique et de leurs interactions (MADIS); http://hdl.handle.net/20.500.12210/113155Test

الإتاحة: https://doi.org/20.500.12210/113155Test
https://hdl.handle.net/20.500.12210/113155Test

مصطلحات موضوعية: non-negative matrix factorization, transcribation, извлечение музыкальной информации, неотрицательная матричная факторизация, musical information retrieval, транскрибирование

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::5cb79a8557936c77bd64ac754b17ac72Test

المؤلفون: Loughran, Róisín, Walker, Jacqueline, O'Neill, Michael, McDermott, James

المساهمون: SFI

مصطلحات موضوعية: musical information retrieval, timbre, genetic programming

العلاقة: Evolutionary and Biologically Inspired Music, Sound, Art and Design: EvoMUSART 2012 Machado P., Romero J., Carballal A. (eds): Lecture Notes in Computer Science, vol 7247; https://doi.org/10.1007/978-3-642-29142-5_16Test; http://hdl.handle.net/10344/6823Test

الإتاحة: https://doi.org/10.1007/978-3-642-29142-5_16Test
http://hdl.handle.net/10344/6823Test

المؤلفون: Róisín Loughran, JACQUELINE WALKER, Michael O'Neill, James McDermott

مصطلحات موضوعية: musical information retrieval, timbre, genetic programming

العلاقة: 10344/6823; https://figshare.com/articles/conference_contribution/Genetic_programming_for_musical_sound_analysis/19812361Test

الإتاحة: https://figshare.com/articles/conference_contribution/Genetic_programming_for_musical_sound_analysis/19812361Test

المؤلفون: МИЧКОВ ПАВЕЛ АЛЕКСАНДРОВИЧ

مصطلحات موضوعية: КУЛЬТУРА ПОИСКА ИНФОРМАЦИИ,ИСТОЧНИКОВЕДЕНИЕ,СИСТЕМЫ ПОИСКА МУЗЫКАЛЬНОЙ ИНФОРМАЦИИ,ИНФОРМАЦИОННЫЙ ПОДХОД В МУЗЫКОЗНАНИИ,МУЗЫКАЛЬНЫЕ БИБЛИОТЕКИ,INFORMATION RETRIEVAL CULTURE,SOURCE STUDY,MUSICAL INFORMATION RETRIEVAL SYSTEMS,INFORMATIONAL APPROACH IN MUSICOLOGY,MUSICAL LIBRARIES

وصف الملف: text/html

الإتاحة: http://cyberleninka.ru/article/n/formirovanie-kultury-informatsionnogo-poiska-v-muzykalnom-iskusstveTest
http://cyberleninka.ru/article_covers/16100119.pngTest

المؤلفون: MESEGUER-BROCAL, Gabriel

المساهمون: Geoffroy Peeters, Laurent Girin, Gaël Richard, Rachel Bittner, Elena Cabrio, Bruno Gas, Perfecto Herrera Boyer, Antoine Liutkus

مصطلحات موضوعية: Intelligence Artificielle, Traitement Automatique du Son, Apprentissage profond, Séparation de Sources, Récupération d'Informations Musicales (MIR), Analyse multimodale, Deep neural networks, Artificial Intelligence, Digital Sound Processing, Deep Learning, Source Separation, Musical Information Retrieval (MIR), Multimodal Analysis, Informatique [cs]/Son [cs.SD], Informatique [cs]/Apprentissage [cs.LG], Informatique [cs], Informatique [cs]/Base de données [cs.DB]

العلاقة: https://oskar-bordeaux.fr/handle/20.500.12278/39021Test

الإتاحة: https://doi.org/20.500.12278/39021Test
https://oskar-bordeaux.fr/handle/20.500.12278/39021Test
https://hdl.handle.net/20.500.12278/39021Test

المؤلفون: Gabriel Meseguer Brocal

المساهمون: Institut de Recherche et Coordination Acoustique/Musique (IRCAM), Analyse et synthèse sonores [Paris], Sciences et Technologies de la Musique et du Son (STMS), Institut de Recherche et Coordination Acoustique/Musique (IRCAM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche et Coordination Acoustique/Musique (IRCAM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université, Geoffroy Peeters, Institut de Recherche et Coordination Acoustique/Musique (IRCAM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Meseguer Brocal, Gabriel

المصدر: Sound [cs.SD]. Sorbonne Université, 2020. English
Sound [cs.SD]. Sorbonne Université, 2020. English. ⟨NNT : 2020SORUS111⟩
Gabriel Meseguer Brocal
HAL

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Sound (cs.SD), Apprentissage profond, Source Separation, [INFO] Computer Science [cs], Computer Science - Sound, Computer Science - Information Retrieval, Machine Learning (cs.LG), Intelligence Artificielle, Deep Learning, Computer Science - Databases, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], Audio and Speech Processing (eess.AS), Artificial Intelligence, Multimodal Analysis, Deep neural networks, FOS: Electrical engineering, electronic engineering, information engineering, [INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB], [INFO]Computer Science [cs], Analyse multimodale, Music information retrieval (MIR), Audio signal processing, Musical Information Retrieval (MIR), [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], Récupération d'Informations Musicales (MIR), Séparation de Sources, Databases (cs.DB), [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-SD] Computer Science [cs]/Sound [cs.SD], [INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD], Traitement Automatique du Son, Information Retrieval (cs.IR), Digital Sound Processing, Electrical Engineering and Systems Science - Audio and Speech Processing

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d36ebc0874f9bad832eb66312e5e9303Test
https://hal.archives-ouvertes.fr/tel-03200189Test