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PLP2: Autoregressive modeling of auditory-like 2-D spectro-temporal patterns

Marios Athineos; Hynek Hermansky; Daniel P. W. Ellis

Title:
PLP2: Autoregressive modeling of auditory-like 2-D spectro-temporal patterns
Author(s):
Athineos, Marios
Hermansky, Hynek
Ellis, Daniel P. W.
Date:
Type:
Articles
Department:
Electrical Engineering
Permanent URL:
Book/Journal Title:
ISCA Tutorial and Research Workshop on Statistical and Perceptual Audio Processing, ICC Jeju, Korea, October 3, 2004
Publisher:
International Speech Communication Association
Abstract:
The temporal trajectories of the spectral energy in auditory critical bands over 250 ms segments are approximated by an all-pole model, the time-domain dual of conventional linear prediction. This quarter-second auditory spectro-temporal pattern is further smoothed by iterative alternation of spectral and temporal all-pole modeling. Just as Perceptual Linear Prediction (PLP) uses an autoregressive model in the frequency domain to estimate peaks in an auditory-like short-term spectral slice, PLP2 uses all-pole modeling in both time and frequency domains to estimate peaks of a two-dimensional spectrotemporal pattern, motivated by considerations of the auditory system.
Subject(s):
Electrical engineering
Item views:
62
Metadata:
text | xml
Suggested Citation:
Marios Athineos, Hynek Hermansky, Daniel P. W. Ellis, 2004, PLP2: Autoregressive modeling of auditory-like 2-D spectro-temporal patterns, Columbia University Academic Commons, http://hdl.handle.net/10022/AC:P:13714.

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