2013
DOI: 10.1109/tasl.2013.2260154
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Musical Instrument Sound Morphing Guided by Perceptually Motivated Features

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Cited by 16 publications
(25 citation statements)
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“…Singers gradually transform the tonality, duration, frequency contours, and even frequency ranges of units so extensively that prototypical units from a particular year are likely to be absent in songs recorded 5 years later. Even within a single bout of singing, a whale may gradually change acoustic features of units through repetition such that units late in the sequence contain no common acoustic features with units produced earlier in the sequence ( Figure 1A ), a case of natural sound morphing ( Caetano and Rodet, 2013 ). The sound repertoire used by singing humpback whales is both graded and dynamic.…”
Section: Song As Sexual Advertisementmentioning
confidence: 99%
“…Singers gradually transform the tonality, duration, frequency contours, and even frequency ranges of units so extensively that prototypical units from a particular year are likely to be absent in songs recorded 5 years later. Even within a single bout of singing, a whale may gradually change acoustic features of units through repetition such that units late in the sequence contain no common acoustic features with units produced earlier in the sequence ( Figure 1A ), a case of natural sound morphing ( Caetano and Rodet, 2013 ). The sound repertoire used by singing humpback whales is both graded and dynamic.…”
Section: Song As Sexual Advertisementmentioning
confidence: 99%
“…Sound morphing covers a wide variety of techniques whose aim is to "interpolate" between two sound signals, with perceptually relevant characteristics. A detailed review of most of existing approaches can be found in [37]. We presented in [8], [14] a morphing strategy based on Gabor Multipliers.…”
Section: A Audio Applications: Sounds Timbre Transformationmentioning
confidence: 99%
“…Processing audio examples by semantic descriptors and the inherent timbral transformations which take place are discussed in works by Caetano and Rodet in [8,9]. A similar theme is explored by Kazazis et al in their 2016 DAFx paper on sound morphing by audio descriptors in [26].…”
Section: Introductionmentioning
confidence: 99%