المؤلفون: Ramires, António

المساهمون: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: Serra, Xavier, Font Corbera, Frederic

المصدر: TDX (Tesis Doctorals en Xarxa)

مصطلحات موضوعية: Electronic music production, Instrument classification, Percussive sound generation, Music information retrieval, Deep learning, Deep generative models, Producción de música electrónica, Clasificación de instrumentos, Generación de sonidos percusivos, Recuperación de la información musical, Aprendizaje profundo, Modelos generativos profundos

وصف الملف: application/pdf

URL الوصول: http://hdl.handle.net/10803/687697

المؤلفون: Slizovskaia, Olga

المساهمون: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: Gómez Gutiérrez, Emilia, Haro Ortega, Gloria

المصدر: TDX (Tesis Doctorals en Xarxa)

مصطلحات موضوعية: Audio-visual deep learning, Multimodal deep learning, Music information retrieval, Musical performance video, Musical performance analysis, Musical instrument classification, Sound source separation, Fusion techniques, Conditioning techniques, Aprendizaje profundo audiovisual, Aprendizaje profundo multimodal, Recuperación de información musical, Video musical, Análisis de interpretación musical, Clasificación de instrumentos musicales, Separación de fuentes de sonido, Técnicas de fusión, Técnicas de acondicionamiento

وصف الملف: application/pdf

URL الوصول: http://hdl.handle.net/10803/669963

المؤلفون: Gst. Ayu Vida Mastrika Giri, Made Leo Radhitya

المصدر: Journal of Applied Informatics and Computing, Vol 8, Iss 1, Pp 226-234 (2024)

مصطلحات موضوعية: audio signal processing, convolutional neural network, mel-frequency cepstral coefficients, music information retrieval, musical instrument classification, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/8058; https://doaj.org/toc/2548-6861

URL الوصول: https://doaj.org/article/1c6417c89ae640ba9fddac00d89ca6be

المؤلفون: Rujia Chen, Akbar Ghobakhlou, Ajit Narayanan

المصدر: Applied Sciences, Vol 14, Iss 23, p 10837 (2024)

مصطلحات موضوعية: spectrograms, musical instrument classification, audio classification, audio feature extraction, music information retrieval, spectrogram transformation, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/14/23/10837; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/2dd17eb322d64475a9047de58a86902d

المؤلفون: Sinin Hamdan, Khairul Anwar Mohamad Said, Md Rezaur Rahman, Marini Sawawia, Aaliyawani Ezzerin Sinin

المصدر: BioResources, Vol 18, Iss 4, Pp 6761-6771 (2023)

مصطلحات موضوعية: acoustic spectra, frequency spectrum, harmonic overtone, time frequency analysis, sape instrument classification, Biotechnology, TP248.13-248.65

وصف الملف: electronic resource

Relation: https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/22609; https://doaj.org/toc/1930-2126

URL الوصول: https://doaj.org/article/0661e2290df646fa859ff64a4209a77b

المؤلفون: Karam Kumar Sahoo, Ridam Hazra, Muhammad Fazal Ijaz, Seongki Kim, Pawan Kumar Singh, Mufti Mahmud

المصدر: IEEE Access, Vol 10, Pp 100797-100811 (2022)

مصطلحات موضوعية: Musical instrument classification, MIC_FuzzyNET, fuzzy integral, spectrogram, transfer learning, PCMIR dataset, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9895384/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/c6dde0e8e70a44998c6e7bdc02d4a02f

المؤلفون: Katharina Prinz, Arthur Flexer, Gerhard Widmer

المصدر: Transactions of the International Society for Music Information Retrieval, Vol 4, Iss 1 (2021)

مصطلحات موضوعية: adversarial attack, instrument classification, music recommendation, validity, Information technology, T58.5-58.64, Music, M1-5000

وصف الملف: electronic resource

Relation: https://transactions.ismir.net/articles/85; https://doaj.org/toc/2514-3298

URL الوصول: https://doaj.org/article/c71f066b116b49218e709cf89a1bf47e

المؤلفون: Prabavathy, S., Rathikarani, V., P. Dhanalakshmi

المصدر: Asian Journal of Electrical Sciences; Vol. 9 No. 1 (2020): January-June 2020; 45-48 ; 2583-7923 ; 2249-6297 ; 10.51983/ajes-2020.9.1

مصطلحات موضوعية: GoogleNet, Feature Extraction, k-Nearest Neighborhood (kNN), Musical Instrument Classification (MIC), Support Vector Machine (SVM)

وصف الملف: application/pdf

Relation: https://ojs.trp.org.in/index.php/ajes/article/view/2369/7484; https://ojs.trp.org.in/index.php/ajes/article/view/2369

الاتاحة: https://ojs.trp.org.in/index.php/ajes/article/view/2369
https://doi.org/10.51983/ajes-2020.9.1.2369

المؤلفون: Hamdan, Sinin, Mohamad Said, Khairul Anwar, Rahman, Md Rezaur, Sawawia, Marini, Sinin, Aaliyawani Ezzerin

المصدر: BioResources; Vol. 18 No. 4 (2023); 6761-6771 ; 1930-2126

مصطلحات موضوعية: Acoustic spectra, Frequency spectrum, Harmonic overtone, Time frequency analysis, Sape instrument classification

وصف الملف: application/pdf

Relation: https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/22609/611; https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/22609

الاتاحة: https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/22609

المؤلفون: Slizovskaia, Olga, Gómez, Emilia, Haro, Gloria

المصدر: ICMR 2017, ACM International Conference on Multimedia Retrieval, Bucharest, Romania, 6-9 June 2017

مصطلحات موضوعية: multimodal musical instrument classification, convolutional neural networks, multimodal video analysis, feature fusion, multimedia information retrieval

Relation: https://zenodo.org/communities/mdm-dtic-upf; https://doi.org/10.1145/3078971.3079002; oai:zenodo.org:583961

الاتاحة: https://doi.org/10.1145/3078971.3079002

المؤلفون: Changhong Wang, Gaël Richard, Brian McFee

المصدر: ISMIR, International Society for Music Information Retrieval conference, Milan, Italy, 5-9 November 2023

مصطلحات موضوعية: Pre-trained audio embeddings, Instrument classification, Embedding bias correction

Relation: https://doi.org/10.5281/zenodo.8126907; https://doi.org/10.5281/zenodo.8126908; oai:zenodo.org:8126908

الاتاحة: https://doi.org/10.5281/zenodo.8126908

المؤلفون: Rodin, Nikolina

المساهمون: Lenac, Kristijan, Sušanj, Diego

مصطلحات موضوعية: TEHNIČKE ZNANOSTI. Računarstvo. Umjetna inteligencija, TECHNICAL SCIENCES. Computing. Artificial Intelligence, klasifikacija glazbenih instrumenata, konvolucijska neuralna mreža, spektrogram, mel spektrogram, MFCC, LFCC, Musical Instrument Classification, CNN, spectrogram, Mel spectrogram

وصف الملف: application/pdf

Relation: https://www.unirepository.svkri.uniri.hr/islandora/object/riteh:3812; https://urn.nsk.hr/urn:nbn:hr:190:367388; https://www.unirepository.svkri.uniri.hr/islandora/object/riteh:3812/datastream/PDF

الاتاحة: https://www.unirepository.svkri.uniri.hr/islandora/object/riteh:3812
https://urn.nsk.hr/urn:nbn:hr:190:367388
https://www.unirepository.svkri.uniri.hr/islandora/object/riteh:3812/datastream/PDF

المؤلفون: Rutuja S Kothe

المصدر: Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12:1667-1672

مصطلحات موضوعية: Cepstral domain, Musical instrument classification, Computer science, General Mathematics, Speech recognition, Musical instrument, Musical, Sound classification, Field (computer science), Education, Computational Mathematics, Computational Theory and Mathematics, Classifier (UML), Impulse response

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::b20f68ec4b36ebdd0e33e13d10ae5b1a
https://doi.org/10.17762/turcomat.v12i5.2155

المؤلفون: R.Rui, C.C.Bao

المصدر: Radioengineering, Vol 22, Iss 1, Pp 60-67 (2013)

مصطلحات موضوعية: Phase space reconstruction, recurrence analysis, dense ratio, supervised learning, musical instrument classification, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1210-2512

URL الوصول: https://doaj.org/article/4da116a4fbce4487aa67695bb82127fa

المؤلفون: Adeli, Mohammad, Rouat, Jean, Wood, Sean, Molotchnikoff, Stéphane, Plourde, Eric

المساهمون: Université de Sherbrooke. NECOTIS

مصطلحات موضوعية: Timbre, Cochlear filter bank, Modulation filter bank, Temporal envelope, Time-averaged spectrum, Instantaneous roughness, Musical instrument classification, Bayesian network, Multimodal timbre characterization

Relation: http://hdl.handle.net/11143/9503; Adeli, M., Rouat, J., Wood, S., Molotchnikoff, S., Plourde, E. (2016). Flexible bio-inspired hierarchical model for analyzing musical timbre. IEEE/ACM transactions on audio, speech, and language processing, Prépublication. doi:10.1109/TASLP.2016.2530405

الاتاحة: http://hdl.handle.net/11143/9503

المؤلفون: Agawu, Kofi, author

المصدر: The African Imagination in Music, 2016, ill.

الاتاحة: https://doi.org/10.1093/acprof:oso/9780190263201.003.0003

المؤلفون: V. Rathikarani, P. Dhanalakshmi, S. Prabavathy

المصدر: Lecture Notes in Networks and Systems ISBN: 9783030847593

مصطلحات موضوعية: Musical instrument classification, Computer science, business.industry, Feature extraction, Musical instrument, Pattern recognition, Field (computer science), k-nearest neighbors algorithm, Support vector machine, ComputingMethodologies_PATTERNRECOGNITION, Feature (machine learning), Artificial intelligence, business, Network model

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::d48dbfe33bbba08c6617bcb99cd9af06
https://doi.org/10.1007/978-3-030-84760-9_21

المؤلفون: Burred, Juan Jose, Roebel, Axel

المساهمون: Analyse et synthèse sonores Paris, Sciences et Technologies de la Musique et du Son (STMS), Institut de Recherche et Coordination Acoustique/Musique (IRCAM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche et Coordination Acoustique/Musique (IRCAM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)

المصدر: Digital Audio Effects (DAFx) ; https://hal.science/hal-01161258 ; Digital Audio Effects (DAFx), Sep 2010, Graz, Austria. pp.1-1

مصطلحات موضوعية: Instrument Classification, Timbre classification, spectro-temporal envelope, music instrument model, Informatique musicale, [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SCCO.NEUR]Cognitive science/Neuroscience

جغرافية الموضوع: Graz, Austria

Relation: hal-01161258; https://hal.science/hal-01161258; https://hal.science/hal-01161258/document; https://hal.science/hal-01161258/file/index.pdf

الاتاحة: https://hal.science/hal-01161258
https://hal.science/hal-01161258/document
https://hal.science/hal-01161258/file/index.pdf

المؤلفون: Rui, Rui, Bao, Changchun

مصطلحات موضوعية: Phase space reconstruction, recurrence analysis, dense ratio, supervised learning, musical instrument classification

وصف الملف: text; 60-67; application/pdf

Relation: Radioengineering; http://www.radioeng.cz/fulltexts/2013/13_01_0060_0067.pdf; Radioengineering. 2013, vol. 22, č. 1, s. 60-67. ISSN 1210-2512; http://hdl.handle.net/11012/36801

الاتاحة: http://hdl.handle.net/11012/36801

المؤلفون: S. N. Kakarwal, Seema R. Chaudhary

المصدر: International Journal of Applied Evolutionary Computation. 10:1-7

مصطلحات موضوعية: Musical instrument classification, Artificial neural network, Computer science, business.industry, Bayesian network, 020206 networking & telecommunications, Musical instrument, 02 engineering and technology, Machine learning, computer.software_genre, Hierarchical database model, Identification (information), 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Music information retrieval, Artificial intelligence, Cluster analysis, business, computer

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::5b24adcecb61fa157bfbf7a4f8f30911
https://doi.org/10.4018/ijaec.2019040101