The present study aimed to investigate of reaction time in terms of phoneme recognition: A comparative study among Iranian Upper-Intermediate vs. Advanced EFL Learners at Institute level. The main question this study tried to answer was whether there is no difference in reaction time in terms of phoneme recognition in Iranian learners at Institute level. To answer the question, 5Upper-Intermedi...

The Support Vector Machine (SVM)method has been widely used in numerous classification tasks. The main idea of this algorithm is based on the principle of the margin maximization to find an hyperplane which separates the data into two different classes.In this paper, SVM is applied to phoneme recognition task. However, in many real-world problems, each phoneme in the data set for recognition pr...

This report describes a method for grapheme to phoneme conversion using statistical models of pronunciation. The available techniques for this conversion are first described and examples of each are given. A baseline system which uses Hidden Markov Models to represent phonemes in English is described and evaluated. The results from the baseline system serve to replicate previous research and to...

In hybrid hidden Markov model/artificial neural networks (HMM/ANN) automatic speech recognition (ASR) system, the phoneme class conditional probabilities are estimated by first extracting acoustic features from the speech signal based on prior knowledge such as, speech perception or/and speech production knowledge, and, then modeling the acoustic features with an ANN. Recent advances in machine...

the phoneme is considered as the  smallest linguistic unit that is used to distinguish words from each other.  relation between phonology and semantics is  placed in the context of relation between signifier and signified. and disagreement  between linguists continue until now. some of them believe that there are functional roles for phonemes in  innovative text. whereas others believe   that t...

A novel method combining filter banks and reconstructed phase spaces is proposed for the modeling and classification of speech. Reconstructed phase spaces, which are based on dynamical systems theory, have advantages over spectral-based analysis methods in that they can capture nonlinear or higher-order statistics. Recent work has shown that the natural measure of a reconstructed phase space ca...

This study is a first step in selecting an appropriate subword unit representation to synthesize highly intelligible 3D talking faces. Consonant confusions were obtained with optic features from a 320-sentence database, spoken by a male talker, using Gaussian mixture models and maximum a posteriori classification methods. The results were compared to consonant confusions obtained from visual-on...

In recent years deep neural networks (DNNs) – multilayer perceptrons (MLPs) with many hidden layers – have been successfully applied to several speech tasks, i.e., phoneme recognition, out of vocabulary word detection, confidence measure, etc. In this paper, we show that DNNs can be used to boost the classification accuracy of basic speech units, such as phonetic attributes (phonological featur...