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A switching linear dynamic model (SLDM) is explored as a parametric model for the clean speech distribution, enforcing a state transition in the feature space ...
Estimation of General Identifiable Linear Dynamic Models with an Application in Speech Recognition. ... VectorsCovariance MatrixUpper BoundApplication ...
Nov 28, 2011 ， In this paper, we relax all these constraints and use a general, canonical form for a linear state-space system that guarantees identifiability ...
Missing: characteristics | Show results with:characteristics
Apr 1, 2007 ， Estimation of General Identifiable Linear Dynamic Models with an Application in Speech Recognition. Tsontzos G., Diakoloukas V., Koniaris C ...
Missing: characteristics vectors
We propose Linear Dynamic Models (LDMs) as an alternative to hidden Markov models (HMMs) for robust speech recognition in noisy environments. HMMs in speech ...
This paper describes a Viterbi-like decoding algorithm applied on segment-models based on linear dynamic systems (LDMs).
Missing: characteristics | Show results with:characteristics
May 1, 2024 ， We propose Linear Dynamic Models (LDMs) as an alternative to hidden Markov models (HMMs) for robust speech recognition in noisy environments.
Applications of Support Vector Machines to Speech ... Estimation of General Identifiable. Linear Dynamic Models with an Application in Speech Recognition.
Estimation of General Identifiable Linear Dynamic Models with an Application in Speech Recognition. 1 Apr 2007. Asymptotic Optimality of the Minimum-Variance ...
Hidden Markov Models (HMMs) provide a simple and effective frame- work for modelling time-varying spectral vector sequences. As a con- sequence, almost all ...