Paper: | AE-P3.6 | ||
Session: | Broadband Coding, Perceptual Coding, and Auditory Modeling | ||
Time: | Thursday, May 20, 13:00 - 15:00 | ||
Presentation: | Poster | ||
Topic: | Audio and Electroacoustics: Broadband and Perceptual Coding | ||
Title: | PERCEPTUAL LINEAR PREDICTIVE NOISE MODELLING FOR SINUSOID-PLUS-NOISE AUDIO CODING | ||
Authors: | Richard Hendriks; Delft University of Technology | ||
Richard Heusdens; Delft University of Technology | |||
Jesper Jensen; Delft University of Technology | |||
Abstract: | Sinusoidal coding of audio subject to a bit-rate constraint will in general result in a noise-like residual signal. This residual signal is of high perceptual importance; reconstruction of audio using the sinusoidal representation only will typically result in an artificial sounding reconstruction. In this paper we present a method, called perceptual linear predictive coding (PLPC), where the residual is encoded by applying LPC in the perceptual domain. This method minimizes a perceptual modelling error and therefore represents only residual components that are of perceptual relevance, while automatically discarding components masked by the sinusoidal coded part. Subjective listening tests show that PLPC performs significantly better than ordinary LPC as a sinusoidal residual coding technique. Furthermore, PLPC combined with a flexible segmentation and model order allocation algorithm leads to a significant gain in terms of R/D performance for fragments with fast changing characteristics. | ||
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