An exploration of sound timbre using perceptual and time-varying frequency spectrum techniques.

This thesis describes the investigation of sound timbre using perceptual and acoustical techniques, with 153 input stimuli. The acoustical methods are based on time and frequency domain representations. The thesis covers the following areas of work: 1. A consideration of previous research in timbre, the different structural forms associated with it, and different definitions concerning timbre and the timbre space representation. 2. A study concerning perceptual similarity reactions to the input stimuli, a statistical analysis of the result structure, and the implications for understanding of the structure of timbral audition. 3. Analysis and synthesis using a time-varying frequency spectrum model, with adaptive viewpoint properties to achieve appropriate time-frequency resolution. 4. Extraction of 335 timbral features from the spectral form, a statistical analysis to find those features which describe perceptual differences between stimuli, and an investigation of timbral dimensionality

Wearable Wireless Devices

No abstract available

Wearable Wireless Devices

No abstract available

Clustering of Musical Sounds using Polyspectral Distance Measures.

: This paper describes a hierarchical clustering of musical signals based on information derived from spectral and bispectral acoustic distortion measures. This clustering reveals the ultra metric structure that exists in the set of sounds, with a clear interpretation of the distances between the sounds as the statistical divergence between the sound models. Spectral, bispectral and combined clustering results are presented. 1 Introduction The ability to assess similarity between musical timbres is basic both for the understanding of our musical perception and for compositional practice. Originally addressed by psychoacousticians, perceptually relevant timbre spaces were devised based on human listening experiments. These results, (Grey) reported in a series of classic papers, had become the standard representation for the musical instruments timbre space. We propose to probe into this space by mathematical tools that could measure this similarity directly from the musical signal. Aco..