Instrumental Idiom in the 16th Century: Embellishment Patterns in Arrangements of Vocal Music

Instrumental Idiom in the 16th Century: Embellishment Patterns in Arrangements of Vocal Music
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16世纪的器乐习语:声乐编曲中的装饰模式

DOI:
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发表时间:
2016
期刊:
International Society for Music Information Retrieval Conference
影响因子:
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通讯作者:
Daniel Müllensiefen
Daniel Müllensiefen
中科院分区:
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文献类型:
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作者:
David Lewis;T. Crawford;Daniel Müllensiefen

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许多现存的16世纪的器乐包括声乐的改编(“intabulations”),在指法中为独奏鲁特琴。制表包括决定从乐谱中删除哪些内容以适合乐器,并使其适合手。音符通常被添加到原始的简单乐谱上作为装饰,使用惯用模式,通常在韵律上,但通常用更快的音符填充声乐部分的简单音程。 在这里,我们测试是否这样的模式都是琵琶intabulations作为一个类(与原始琵琶音乐)和该类内的不同流派的特点。我们使用的模式中确定的音乐学文献搜索两个注释语料库的编码琵琶音乐使用SIA(M)ESE算法。全音阶模式出现在许多半音形式中,根据演奏者如何应用仿音乐的惯例,添加了偶然性。节奏必须在三个不同的音阶上应用,因为整个剧目的记谱法不一致。这产生了超过88,000个短旋律查询,用于在两个语料库中搜索,总共超过6,000个琵琶作品的编码。 我们表明,我们的方法清楚地区分了鲁特琴的制表和原始音乐(p < .001);它也可以区分声乐模型中的神圣和世俗流派(p < .001)。
Much surviving 16th-century instrumental music consists of arrangements (‘intabulations’) of vocal music, in tablature for solo lute. Intabulating involved deciding what to omit from a score to fit the instrument, and making it fit under the hand. Notes were usually added as embellishments to the original plain score, using idiomatic patterns, typically at cadences, but often filling simple intervals in the vocal parts with faster notes. Here we test whether such patterns are both characteristic of lute intabulations as a class (vs original lute music) and of different genres within that class. We use patterns identified in the musicological literature to search two annotated corpora of encoded lute music using the SIA(M)ESE algorithm. Diatonic patterns occur in many chromatic forms, accidentals being added depending how the arranger applied the conventions of musica ficta. Rhythms must be applied at three different scales as notation is inconsistent across the repertory. This produced over 88,000 short melodic queries to search in two corpora totalling just over 6,000 encodings of lute pieces. We show that our method clearly discriminates between intabulations and original music for the lute (p < .001); it also can distinguish sacred and secular genres within the vocal models (p < .001).