Recognizing structure in novel tunes: differences between human and rats by Paola Crespo-Bojorque, Elodie Cauvet, Christophe Pallier, Juan M. Toro

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Virtual choir as a kind of digital musical art by Xinbin Fu

“…The so-called virtual choirs remain very common in modern musical creativity. Their activities are studied in modern science in many aspects: historical, technical, socio-psychological, musicological, etc. …”
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Feature Extraction and Classification of Music Content Based on Deep Learning by Qianqiu Shi, Young Chun Ko

“…The improved depth confidence network identifies and classifies Chinese traditional musical instruments through Softmax layer, and the accuracy is even as high as 99.2%; DBN is combined with Softmax neural network algorithm when only a few labeled samples in the training set are used for network fine-tuning, and the accuracy of the algorithm can still reach more than 90%, which can reduce the workload in the early stage. …”
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HYMNS OF REPENTANCE IN THE WORSHIP PRACTICE OF THE REFORMED CHURCH OF TRANSYLVANIA by Éva PÉTER

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« LE PAYSAGE SONORE » DE MURRAY R. SCHAFER by Luana STAN

“…In a world where background music (muzak) invades all public places, Canadian musicologist and composer Murray Schafer does an analysis of all types of sounds (natural, artificial, from the old days until today) in his book The Tuning of the World and advances a proposal to create sound museums. …”
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A review on speech recognition approaches and challenges for Portuguese: exploring the feasibility of fine-tuning large-scale end-to-end models by Yan Li, Yapeng Wang, Lap Man Hoi, Dingcheng Yang, Sio-Kei Im

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LC-Protonets: Multi-Label Few-Shot Learning for World Music Audio Tagging by Charilaos Papaioannou, Emmanouil Benetos, Alexandros Potamianos

“…Our method is applied to automatic audio tagging across diverse music datasets, covering various cultures and including both modern and traditional music, and is evaluated against existing approaches in the literature. …”
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Automatic Classification Method of Music Genres Based on Deep Belief Network and Sparse Representation by Lina Pan

“…Based on the deep belief network model after fine-tuning training, the structure of the music genre classification network model is designed. …”
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Deep Learning in Music Generation: A Comprehensive Investigation of Models, Challenges and Future Directions by Kong Xiangchen

“…Reinforcement Learning models, such as MusicRL, combine human feedback to fine-tune AI-generated compositions based on the individual's preferences. …”
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Context-Related Melodies in Oral Culture: An Attempt to Describe Words-and-Music Relationships in Local Singing Tradition by Taive Särg

“…The terms “polyfunctionalism”, “group melodies” or “general melodies” have been used by Estonian researches to indicate the phenomenon that many lyrics were sung to only one, or a small handful, of tunes. The scarcity of melodies is supposed to be one of several related phenomena characteristic to an oral, text-centred singing culture.In this article the Estonian folk song tradition will be analysed against a quantity of melodies and their usage in the following aspects: word-and-melody relationships and context-and-melody relationships in Karksi parish (south Estonia); a singer; and native musical terms and the process of singing and (re)creation.…”
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L’ermite et le virtuose by Denis Laborde

“…These two artists incarnated two conflicting pianist figures: one, for whom music practice was "not a demonstration of the soloist’s virtues (virtuosity) nor a complacent exhibition of self practice" (Schneider, 1988: 40), embodied the figure of the hermit artist in tune with "music", the other, "the guy who can play the piano faster than all others" (Böhm, 1995: 88), embodied the worldly face of the virtuoso. …”
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REGIONALE MERKMALE DER SIEBENBÜRGISCH-UNGARISCHEN VOLKSMUSIK by István ALMÁSI

“…The research work of László Lajtha and Pál Járdányi, carried out later in Central-Transylvania revealed new characteristics both in vocal and instrumental music. They discovered melodies with expanded lines, emerging in connection with traditional dance music. …”
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When ‘Law’ Rhymes with ‘Flaw’: the Sounds of British Justice in Gilbert and Sullivan’s Trial by Jury (1875) by Joël Richard

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›Lead Sheet‹-Notation vom Vaudeville bis zum iReal Pro. Zur Geschichte der Notationsformen des Jazz und ihren musiktheoretischen Implikationen by Philipp Teriete

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Playing in Tongues: The Hammond Organ and Black Pentecostal Instrumentality by Braxton D. Shelley

“…This article attends to the social life of the Hammond organ in the Black Pentecostal imaginary, a theological, cultural, and musical phenomenon that calls attention to the social fact of instrumental timbre. …”
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THE GENEVAN PSALMS (1562) IN THE HUNGARIAN CHORAL LITERATURE by Éva PÉTER

“… At the middle of the 20th century in a time of the upturn of the general musical culture Hungarian composers having experience with ecclesiastical music created adaptations of various levels of difficulty for the tunes of the Genevan psalms. …”
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Nye slåtter på sjøfløyta by Per Åsmund Omholt

“…Methodologically, the approach is practice-based, founded on many years of practical experience with transferring tunes, preferably from fiddle to flute.…”
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Human Activity Recognition Using Graph Structures and Deep Neural Networks by Abed Al Raoof K. Bsoul

“…To address this, we applied the Firefly Optimization Algorithm to fine-tune the hyperparameters of both the graph-based model and a CNN baseline for comparison. …”
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“THE HUNGARIAN FOLK-SONG … ECHO OF THE ENTIRE HUNGARIAN SOUL” – THOUGHTS UPON A QUOTATION FROM ZOLTÁN KODÁLY by Zoltán SZALAY

“…Zoltán Kodály writes these lines in 1943, after he ascertains that pentatonic tunes constitute the Hungarians most ancient music. …”
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La Tentation de Saint-Antoine au Chat Noir : un exemple de collaboration multidisciplinaire by Michela Niccolai

“…The music plays a central role because, in the absence of a text, it must be narrated, so that known tunes, drawn from operas, operettas and café-concert, often used with a parodic sense, alternate with original music composed by Tinchant and Fragerolle. …”
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