5 search results - page 1 / 1 » Scalable HMM based inference engine in large vocabulary cont... |
ICMCS
2009
IEEE
13 years 2 months ago
2009
IEEE
Parallel scalability allows an application to efficiently utilize an increasing number of processing elements. In this paper we explore a design space for parallel scalability for...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
We propose a new optimization algorithm called Generalized Baum Welch (GBW) algorithm for discriminative training on hidden Markov model (HMM). GBW is based on Lagrange relaxation...
NAACL
1994
13 years 6 months ago
1994
The goal of this study is to evaluate the potential for using large vocabulary continuous speech recognition as an engine for automatically classifying utterances according to the...
CSL
2004
Springer
13 years 4 months ago
2004
Springer
Recently various techniques to improve the correlation model of feature vector elements in speech recognition systems have been proposed. Such techniques include semi-tied covaria...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
We introduce a direct model for speech recognition that assumes an unstructured, i.e., flat text output. The flat model allows us to model arbitrary attributes and dependences o...