… In this section, we compare the performance of the codebookbased Bayesian estimator (with
memory) in the short-term predictor parameter domain. We first look at the mean squared …

… In this section, we provide a brief overview of the codebook based ML estimation
procedure. Consider an additive noise model where speech and noise are independent: …

… shortterm AR-model parameters of speech and noise in the codebookbased Bayesian
speech enhancement method. The estimated accuracy of speech and noise AR gains is better …

… In this section, we discuss modifications to the codebookbased ML estimation scheme that
aim to reduce computational complexity and improve performance. We first present an itera…

… of the enhanced speech. In this paper, we propose a codebook-based Bayesian LP …
the LP parameters based on the information of past noisy speech. First, the HMM theory [8] …

… In this paper, we present a Bayesian framework that automatically provides the benefits of
… a codebook-based speech enhancement technique that employs trained models of speech …

… codebook-based method for spectral parameter estimation within the Bayesian STSA speech
enhancement … The specific codebook-based estimator used here is a combination of the …

… improvement in speech enhancement when compared to using SI codebooks in the
codebook based Bayesian speech enhancement … Secondly, we introduce a new Bayesian …

… a codebook-based speech enhancement algorithm by using Markov process and speech-…
-vectors in the codebook for optimizing Bayesian minimum mean squared error (MMSE) …

… speech enhancement even in non-stationary noise conditions. Codebook-based approaches
for speech enhancement … The above results clubbed with the context dependent Bayesian …