Kat Agres

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When listening to music, we form implicit expectations about the forthcoming temporal sequence. Listeners acquire knowledge of music through processes such as statistical learning, but how do different types of statistical information affect listeners' learning and memory? To investigate this, we conducted a behavioral study in which participants repeatedly(More)
This paper puts forth a method for discovering computationally-derived conceptual spaces that reflect human conceptualization of musical and poetic creativity. We describe a lexical space that is defined through co-occurrence statistics, and compare the dimensions of this space with human responses on a word association task. Participants' responses serve(More)
A salient characteristic of human perception of music is that musical events are perceived as being grouped temporally into structural units such as phrases or motifs. Segmentation of musical sequences into structural units is a topic of ongoing research, both in cognitive psychology and music information retrieval. Computational models of music(More)
  • Kat Agres, Queen Mary, Carlos Cancino, Maarten Grachten, Stefan Lattner
  • 2015
The ability to extract meaningful relationships from sequences is crucial to many aspects of perception and cognition, such as speech and music. This paper explores how leading computational techniques may be used to model how humans learn abstract musical relationships, namely, tonality and octave equivalence. Rather than hard-coding musical rules, this(More)
There is a clear connection to be made between psychological findings regarding learning and memory and the areas of case-based reasoning (CBR) and computational creativity (CC). This paper aims to encourage researchers in these areas to consider psychological perspectives while developing the technical and theoretical aspects of their computational(More)
Research in speech and music shows that listeners model their auditory environment to form expectations about future input. Here we asked how the ability to predict upcoming musical tones based on both general implicit knowledge of musical structure and familiarity with a particular tune influence early portions of the auditory evoked response (AER). Using(More)
We propose a novel metaphor interpretation method, Meta4meaning. It provides interpretations for nominal metaphors by generating a list of properties that the metaphor expresses. Meta4meaning uses word associations extracted from a corpus to retrieve an approximation to properties of concepts. Interpretations are then obtained as an aggregation or(More)