Gotowe bibliografie tematyczne / Non-tonal

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Gotowa bibliografia na temat „Non-tonal”

Autor: Grafiati
Data publikacji: 23 sierpnia 2023

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Artykuły w czasopismach na temat "Non-tonal"

1

Gussenhoven, Carlos. "Commentary: Tonal complexity in non-tonal languages." Journal of Language Evolution 1, no. 1 (2016): 62–64. http://dx.doi.org/10.1093/jole/lzv016.

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2

Percival, Maida, and Kaz Bamba. "Segmental intonation in tonal and non-tonal languages." Journal of the Acoustical Society of America 141, no. 5 (2017): 3701. http://dx.doi.org/10.1121/1.4988075.

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3

Lee, Hyunjung, and Allard Jongman. "Perception of initial stops in tonal and non-tonal Korean." Journal of the Acoustical Society of America 130, no. 4 (2011): 2572. http://dx.doi.org/10.1121/1.3655308.

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4

Chen, Si, Yunjuan He, Ratree Wayland, Yike Yang, Bei Li, and Chun Wah Yuen. "Mechanisms of tone sandhi rule application by tonal and non-tonal non-native speakers." Speech Communication 115 (December 2019): 67–77. http://dx.doi.org/10.1016/j.specom.2019.10.008.

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5

Ciocca, Valter, Alexander L. Francis, and Yanhong Zhang. "Learning of non‐native tonal contrasts with or without tonal context." Journal of the Acoustical Society of America 120, no. 5 (2006): 3175. http://dx.doi.org/10.1121/1.4787948.

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6

Popovic, Linda. "Liszt's Harmonic Polymorphism: Tonal and Non-Tonal Aspects in 'Heroide Funebre'." Music Analysis 15, no. 1 (1996): 41. http://dx.doi.org/10.2307/854169.

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7

Dean, Roger Thornton, and Marcus Thomas Pearce. "Algorithmically-generated Corpora that use Serial Compositional Principles Can Contribute to the Modeling of Sequential Pitch Structure in Non-tonal Music." Empirical Musicology Review 11, no. 1 (2016): 27. http://dx.doi.org/10.18061/emr.v11i1.4900.

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Streszczenie:
We investigate whether pitch sequences in non-tonal music can be modeled by an information-theoretic approach using algorithmically-generated melodic sequences, made according to 12-tone serial principles, as the training corpus. This is potentially useful, because symbolic corpora of non-tonal music are not readily available. A non-tonal corpus of serially-composed melodies was constructed algorithmically using classic principles of 12-tone music, including prime, inversion, retrograde and retrograde inversion transforms. A similar algorithm generated a tonal melodic corpus of tonal transformations, in each case based on a novel tonal melody and expressed in alternating major keys. A cognitive model of auditory expectation (IDyOM) was used first to analyze the sequential pitch structure of the corpora, in some cases with pre-training on established tonal folk-song corpora (Essen, Schaffrath, 1995). The two algorithmic corpora can be distinguished in terms of their information content, and they were quite different from random corpora and from the folk-song corpus. We then demonstrate that the algorithmic serial corpora can assist modeling of canonical non-tonal compositions by Webern and Schoenberg, and also non-tonal segments of improvisations by skilled musicians. Separately, we developed the process of algorithmic melody composition into a software system (the Serial Collaborator) capable of generating multi-stranded serial keyboard music. Corpora of such keyboard compositions based either on the non-tonal or the tonal melodic corpora were generated and assessed for their information-theoretic modeling properties.
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8

Lin, Hui-shan. "Tonal (non-)transfer in Kunming Reduplication." Journal of East Asian Linguistics 28, no. 1 (2019): 55–105. http://dx.doi.org/10.1007/s10831-019-09190-8.

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9

Li, Yang-wenyi, Xiaoting Cheng, Chenru Ding, John J. Galvin, Bing Chen, and Qian-Jie Fu. "Benefits of long-term music training for segregation of competing speech by tonal language speakers." Journal of the Acoustical Society of America 153, no. 3_supplement (2023): A330. http://dx.doi.org/10.1121/10.0019032.

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Streszczenie:
Extended experience with meaningful pitch information has been shown to benefit music perception as well as speech perception where pitch cues are important, such as segregation of competing speech and tonal language perception. Interestingly, pitch perception has been shown to be similar between non-musicians who speak a tonal language and musicians who speak a non-tonal language, both of which outperform non-musicians who speak a non-tonal language. However, it is unknown whether extensive music training can further benefit pitch perception in tonal language speakers. In this study, melodic contour identification, spectro-temporal pattern perception, and masked speech recognition was measured in 16 adult normal-hearing musicians and 16 non-musicians; all were Chinese native speakers of Mandarin. Melodic contour identification, spectro-temporal pattern perception, and masked speech recognition all were significantly better for musicians than for non-musicians. Compared to non-musicians, musicians better utilized talker sex cues to segregate competing speech; utilization of talker sex cues by musicians was associated with the onset and extent of music training. Across all participants, spectro-temporal pattern perception was associated with better masked speech understanding. The data suggest that early and extensive music training may further benefit tonal language speakers’ perception and utilization of pitch cues.
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10

Thompson, Avery. "Tonal language speakers experience less vocal impairment from alcohol." Scilight 2022, no. 33 (2022): 331102. http://dx.doi.org/10.1063/10.0013392.

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