Articles:
PLP2: Autoregressive modeling of auditory-like 2-D spectro-temporal patterns
Marios Athineos; Hynek Hermansky; Daniel P. W. Ellis
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- Title:
- PLP2: Autoregressive modeling of auditory-like 2-D spectro-temporal patterns
- Author(s):
-
Athineos, Marios
Hermansky, Hynek
Ellis, Daniel P. W. - Date:
- 2004
- Type:
- Articles
- Department:
- Electrical Engineering
- Permanent URL:
- http://hdl.handle.net/10022/AC:P:13714
- 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:
- 28