Title :
Predicting time-varying audio spectra from pitch and loudness: related synthesis techniques
Abstract :
A technique is described for estimating the time-varying spectrum of an audio signal based on a conditional probability density function (PDF) of spectral coding vectors conditioned on pitch and loudness values. Using this PDF a time-varying output spectrum is generated as a function of time-varying pitch and loudness sequences arriving from an electronic music instrument controller or derived from an input audio signal. This output spectrum is converted to an output audio signal. The technique is used for both synthesizing and morphing audio signals
Keywords :
audio coding; electronic music; loudness; prediction theory; probability; signal synthesis; spectral analysis; time-varying systems; PDF; audio signal; audio signals morphing; audio signals synthesis; conditional probability density function; electronic music instrument controller; input audio signal; output audio signal; output spectrum; spectral coding vectors; synthesis techniques; time-varying audio spectra prediction; time-varying loudness sequences; time-varying output spectrum; time-varying pitch sequences; time-varying spectrum estimation; Covariance matrix; Electronic music; Engines; Instruments; Power harmonic filters; Probability density function; Signal analysis; Signal generators; Signal synthesis; Synthesizers;
Conference_Titel :
Applications of Signal Processing to Audio and Acoustics, 2001 IEEE Workshop on the
Conference_Location :
New Platz, NY
Print_ISBN :
0-7803-7126-7
DOI :
10.1109/ASPAA.2001.969580
