Suzanne Winsberg

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To study the perceptual structure of musical timbre and the effects of musical training, timbral dissimilarities of synthesized instrument sounds were rated by professional musicians, amateur musicians, and nonmusicians. The data were analyzed with an extended version of the multidimensional scaling algorithm CLASCAL (Winsberg & De Soete, 1993), which(More)
The aim of the psychoacoustic study presented here was to characterize listeners’ preferences for a set of sounds produced by different brands and models of indoor air-conditioning units. In addition, some synthetic sounds, created by interpolation between recorded sound samples, were integrated into the set. The multidimensional perceptual space and the(More)
Timbre spaces represent the organization of perceptual distances, as measured with dissimilarity ratings, among tones equated for pitch, loudness, and perceived duration. A number of potential acoustic correlates of timbre-space dimensions have been proposed in the psychoacoustic literature, including attack time, spectral centroid, spectral flux, and(More)
This paper is the second of a two-part study of the quality of car horn sounds. It aims to provide insights into the design of new sounds. It is based on the assumption that hearing a car horn sound warns road users because they recognize the sound of a car horn, i.e. they know what this sound means, and what they have to do as a consequence. The three(More)
One approach to improving sound quality is to create a preference map on the basis of several acoustic parameters relevant to auditory perception. The map is derived from several stages of subjective testing, acollstic analysis, and auditory modeling. The multidimensional scaling technique CLASCAL reveals common perceptual jimensions shared by sets of(More)
Multidimensional scaling aims at reconstructing dissimilarities between pairs of objects by distances in a low dimensional space. However, in some cases the dissimilarity itself is unknown, but the range of the dissimilarity is given. Such fuzzy data fall in the wider class of symbolic data (Bock & Diday, 2000). Denœux and Masson (2002) have proposed to(More)
Pairwise preference data are represented as a monotone integral transformation of difference on the underlying stimulus-object or utility scale. The class of monotone transformations considered is that in which the kernel of the integral is a linear combination of B-splines. Two types of data are analyzed: binary and continuous. The parameters of the(More)
The dependency of the timbre of musical sounds on their fundamental frequency (F0) was examined in three experiments. In experiment I subjects compared the timbres of stimuli produced by a set of 12 musical instruments with equal F0, duration, and loudness. There were three sessions, each at a different F0. In experiment II the same stimuli were rearranged(More)