Overlap and split of reference patterns for connected word recognition.
نویسندگان
چکیده
منابع مشابه
Mixture of Experts for Persian handwritten word recognition
This paper presents the results of Persian handwritten word recognition based on Mixture of Experts technique. In the basic form of ME the problem space is automatically divided into several subspaces for the experts, and the outputs of experts are combined by a gating network. In our proposed model, we used Mixture of Experts Multi Layered Perceptrons with Momentum term, in the classification ...
متن کاملA Bayesian Approach for the Recognition of Control Chart Patterns
In this research, an iterative approach is employed to recognize and classify control chart patterns. To do this, by taking new observations on the quality characteristic under consideration, the Maximum Likelihood Estimator of pattern parameters is first obtained and then the probability of each pattern is determined. Then using Bayes’ rule, probabilities are updated recursively. Finally, when...
متن کاملAn embedded word training procedure for connected digit recognition
The "conventional" way of obtaining word reference patterns for connected word recognition systems is to use isolatàd word patterns, and to rely on the dynamics of the matching algorithm to account for the differences in connected speech. Connected word recognition, based on such an approach, tends to become unreliable (high error rates) when the talking rate becomes grossly incommensurate with...
متن کاملIsolated and Connected Word Recognition-Theory and Selected Applications
The art and science of speech recognition have been advanced to the state where it is now possible to communicate reliably with a computer by speaking to it in a disciplined manner using a vocabulary of moderate size. It is the purpose of this paper to outline two aspects of speech-recognition research. First, we discuss word recognition as a classical pattern-recognition problem and show how s...
متن کاملA New Connected Word Recognition Using Synergic Hmm and Dtw
Connected Word Recognition (CWR) is used in many applications such as voice-dialing telephone, automatic data entry, automated banking systems and, etc. This paper presents a novel architecture for CWR based on synergic Hidden Markov Model (HMM) and Dynamic Time Warping (DTW). At first, the proposed architecture eliminates obvious silent times from inputted speech utterance by preprocessing ope...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Acoustical Society of Japan (E)
سال: 1986
ISSN: 0388-2861,2185-3509
DOI: 10.1250/ast.7.13