Principal Component Analysis of Rasterised Audio for Cross-Synthesis

TY - CONF

T1 - Principal Component Analysis of Rasterised Audio for Cross-Synthesis

AU - Wells, Jeremy

AU - Aldam, Gregory

PY - 2009/9/1

Y1 - 2009/9/1

N2 - This paper describes a system for cross synthesis of rasterised time-domain audio. Rasterisation of the audio allows alignment of the macroscopic features of audio samples of instrument tones prior to principal component analysis (PCA). Specifically a novel algorithm for straightening and aligning rastogram features has been developed which is based on an interactive process incorporating the Canny detection algorithm and variable resampling. Timbral cross-synthesis is achieved by projecting a given instrument tone onto the principal components derived from a training set of sounds for a different tone. The alignment algorithm improvesthe efficiency of PCA for resynthesizing tones.

AB - This paper describes a system for cross synthesis of rasterised time-domain audio. Rasterisation of the audio allows alignment of the macroscopic features of audio samples of instrument tones prior to principal component analysis (PCA). Specifically a novel algorithm for straightening and aligning rastogram features has been developed which is based on an interactive process incorporating the Canny detection algorithm and variable resampling. Timbral cross-synthesis is achieved by projecting a given instrument tone onto the principal components derived from a training set of sounds for a different tone. The alignment algorithm improvesthe efficiency of PCA for resynthesizing tones.

UR - http://www.scopus.com/inward/record.url?scp=84872726975&partnerID=8YFLogxK

M3 - Paper

SP - 380

EP - 386

ER -