Thomas Wilmering

  • Citations Per Year
Learn More
Computational feature extraction provides one means of gathering structured analytic metadata for large media collections. We demonstrate a suite of tools we have developed that automate the process of feature extraction from audio in the Internet Archive. The system constructs an RDF description of the analysis workflow and results which is then reconciled(More)
We present a system of audio effects capable of processing and predicting metadata associated with the processed signals. This new class of audio effects has additional inputs and outputs describing features in RDF using the Audio Features Ontology. This data is processed in parallel to the audio signals. We show that by deriving the changes in metadata(More)
In this paper we present the Audio Effects Ontology for the ontological representation of audio effects in music production workflows. Designed as an extension to the Studio Ontology, its aim is to provide a framework for the detailed description and sharing of information about audio effects, their implementations, and how they are applied in realworld(More)
In this paper we discuss the development of ontological representations of digital audio effects and provide a framework for the description of digital audio effects and audio effect transformations. After a brief account on our current research in the field of highlevel semantics for music production using Semantic Web technologies, we detail how an Audio(More)
This paper discusses an extension to the Audio Effect Ontology (AUFX-O) for the interdisciplinary classification of audio effect types. The ontology extension implements a unified classification system that draws on knowledge from different music-related disciplines and is designed to facilitate the retrieval of audio effect information based on low-level(More)
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(More)
Building upon a collection with functionality for discovery and analysis has been described by Lynch as a `layered' approach to digital libraries. Meanwhile, as digital corpora have grown in size, their analysis is necessarily supplemented by automated application of computational methods, which can create layers of information as intricate and complex as(More)
  • 1