Proceedings of the 24th ACM International Conference on Multimedia 2016
DOI: 10.1145/2964284.2967238
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Semantic Description of Timbral Transformations in Music Production

Abstract: In music production, descriptive terminology is used to define perceived sound transformations. By understanding the underlying statistical features associated with these descriptions, we can aid the retrieval of contextually relevant processing parameters using natural language, and create intelligent systems capable of assisting in audio engineering. In this study, we present an analysis of a dataset containing descriptive terms gathered using a series of processing modules, embedded within a Digital Audio W… Show more

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Cited by 13 publications
(25 citation statements)
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References 12 publications
(9 reference statements)
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“…Similarly, the subject of adaptive audio effects, where configuration is determined by high-level semantic metadata, has been discussed by Wilmering et al [43]. An understanding of perceived effects of audio transformation may also inform the design of production related ontologies [16], while such data can be encoded semantically to aid production tools [17,39] and help, for instance, the design or assessment of intelligent tools for automatic control of audio effects [38].…”
Section: Discussionmentioning
confidence: 99%
“…Similarly, the subject of adaptive audio effects, where configuration is determined by high-level semantic metadata, has been discussed by Wilmering et al [43]. An understanding of perceived effects of audio transformation may also inform the design of production related ontologies [16], while such data can be encoded semantically to aid production tools [17,39] and help, for instance, the design or assessment of intelligent tools for automatic control of audio effects [38].…”
Section: Discussionmentioning
confidence: 99%
“…For instance in [26], audio analysis and pattern recognition is used to enable recalling DRC parameters in similar musical contexts. The authors in [27] propose a system to configure audio effects, including the DRC, using semantic descriptors associated with crowed-sourced parameters, and show there is consistency across users in the use of semantic terms and intended modifications to the signal. An approach to reduce the number of user configurable parameters of the DRC is presented in [28].…”
Section: Related Workmentioning
confidence: 99%
“…Rather than developing a web-based system, Stables et al (2014) chose to enhance the functionality of desktop based digital audio workstations through semantic control. The SAFE plug-ins (short for Semantic Audio Feature Extraction ( Stables et al, 2014 )) provide both parametric management and visualization tools with a semantic representation for a particular feature or grouping of features. SAFE makes use of semantic tags to control the parameters of functionalities such as equalization, distortion, compression and reverberation.…”
Section: Expanding the Sound Sphere Metaphormentioning
confidence: 99%