ICASSP
2011
IEEE
13 years 8 days ago
2011
IEEE
A great deal of interest has been paid to the estimation of time-varying autoregressive (TVAR) parameters. However, when the observations are disturbed by an additive white measur...
ICASSP
2011
IEEE
13 years 8 days ago
2011
IEEE
The paper discusses computationally efficient NLMS and RLS algorithms for a broad class of nonlinear filters using periodic input sequences. The class comprises all nonlinear ...
ICASSP
2011
IEEE
13 years 8 days ago
2011
IEEE
Heart sound is one of the significant bio-signals to diagnose certain cardiac anomalies. Aiming to provide an automatic heart sounds analysis to medical professionals, we present...
ICASSP
2011
IEEE
13 years 8 days ago
2011
IEEE
The question in the title is relevant when considering latticereduction-aided MIMO detectors, which achieve the same diversity as the maximum-likelihood detector while exhibiting ...
ICASSP
2011
IEEE
13 years 8 days ago
2011
IEEE
Recent advances in coherent and convex demodulation have proven useful for analyzing and modifying the low-frequency envelope structure of speech. This paper reports the applicati...
ICASSP
2011
IEEE
13 years 8 days ago
2011
IEEE
While much work has been dedicated to exploring how best to incorporate the Ideal Binary Mask (IBM) in automatic speech recognition (ASR) for noisy signals, we demonstrate that th...
ICASSP
2011
IEEE
13 years 8 days ago
2011
IEEE
This paper investigates using Gaussian Mixture Model (GMM) based vowel duration features for automated assessment of non-native speech. Two different types of models were compared...
ICASSP
2011
IEEE
13 years 8 days ago
2011
IEEE
Detecting stationary human targets is crucial in ensuring safe operation of unmanned ground vehicles. In this paper, a multi-stage detection algorithm for stationary humans in inf...
ICASSP
2011
IEEE
13 years 8 days ago
2011
IEEE
In this work we derive the maximum likelihood estimator for passive wavefront curvature ranging systems operating in environments subject to a spatial coherence loss. As a consequ...
ICASSP
2011
IEEE
13 years 8 days ago
2011
IEEE
We propose Cross-Channel Spectral Subtraction (CCSS), a source separation method for recognizing meeting speech where one microphone is prepared for each speaker. The method quick...