منابع مشابه
Adapted Extended Baum-Welch Transformations
The discrimination technique for estimating parameters of Gaussian mixtures that is based on the Extended Baum-Welch transformations (EBW) has had significant impact on the speech recognition community. In this paper we introduce a general definition of a family of EBW transformations that can be associated with a weighted sum of updated and initial models. We compute a gradient steepness measu...
متن کاملGeneralized Baum-Welch Algorithm and its Implication to a New Extended Baum-Welch Algorithm
This paper describes how we can use the generalized BaumWelch (GBW) algorithm to develop better extended BaumWelch (EBW) algorithms. Based on GBW, we show that the backoff term in the EBW algorithm comes from KL-divergence which is used as a regularization function. This finding allows us to develop a fast EBW algorithm, which can reduce the time of model space discriminative training by half, ...
متن کاملThe Baum-connes Conjecture for Hyperbolic Groups
The Baum-Connes conjecture states that, for a discrete group G, the K-homology groups of the classifying space for proper G-action is isomorphic to the K-groups of the reduced group C-algebra of G [3, 2]. A positive answer to the Baum-Connes conjecture would provide a complete solution to the problem of computing higher indices of elliptic operators on compact manifolds. The rational injectivit...
متن کاملDoes Baum-Welch Re-estimation Help Taggers?
In part of speech tagging by Hidden Markov Model, a statistical model is used to assign grammatical categories to words in a text. Early work in the field relied on a corpus which had been tagged by a human annotator to train the model. More recently, Cutt ing et al. (1992) suggest that training can be achieved with a minimal lexicon and a limited amount of a priori information about probabilit...
متن کاملUnidirectional and parallel Baum-Welch algorithms
Hidden Markov models (HMM’s) are popular in many applications, such as automatic speech recognition, control theory, biology, communication theory over channels with bursts of errors, queueing theory, and many others. Therefore, it is important to have robust and fast methods for fitting HMM’s to experimental data (training). Standard statistical methods of maximum likelihood parameter estimati...
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ژورنال
عنوان ژورنال: Bulletin des Médecins Suisses
سال: 2018
ISSN: 1424-4012
DOI: 10.4414/bms.2018.17318