background and aim: quick speech in noise (q-sin) test has popularity for evaluating speech recognition in noise. the present study has been paid to build five new persian lists with respect to all possible factors affecting the test, to determine validity of the test and to run five lists for normal hearing subjects and assessment of reliability. methods: to build lists, frequent, familiar and...

This paper presents a novel Bayesian approach to the problem of co-channel speech. The problem is formulated as the joint maximization of the a posteriori probability of the word sequence and the target speaker given the observed speech signal. It is shown that the joint probability can be expressed as the product of six terms: a likelihood score from a speaker-independent speech recognizer, th...

The “one sense per discourse” (OSPD) and “one sense per collocation” (OSPC) hypotheses have been very influential in Word Sense Disambiguation. The goal of this paper is twofold: (i) to explore whether these hypotheses hold for entities, that is, whether several mentions in the same discourse (or the same collocation) tend to refer to the same entity or not, and (ii) test their impact in Named-...

This article focuses on the question answering type of automatic scoring system for large-scale spoken English examinations and scores using a method called multifeature fusion. Three types features are extracted to score speech recognition text as research object. The three similarity, syntactic, phonetic. There nine distinct characteristics that describe relationship between examinee response...

In recent speech recognition technology, the score of a hypothesis is often de ned on the basis of HMM likelihood. As is well known, however, direct use of the likelihood as a scoring function causes di cult problems especially when the length of a speech segment varies depending on the hypothesis as in word-spotting, and some kind of normalization is indispensable. In this paper, a new method ...

An image-based document translation system consists of several components, among which OCR (Optical Character Recognition) plays an important role. However, existing OCR software is not robust against environmental variations. Furthermore, OCR errors are often propagated into the translation component and cause, causing poor end-to-end performance. In this paper, we propose an imagebased docume...

We present a method for speaker recognition that uses the duration patterns of speech units to aid speaker classification. The approach represents each word and/or phone by a feature vector comprised of either the durations of the individual phones making up the word, or the HMM states making up the phone. We model the vectors using mixtures of Gaussians. The speaker specific models are obtaine...

In this paper, we present our research on automatic speech recognition of surface electromyographic signals that are generated by the human articulatory muscles. With parallel recorded audible speech and electromyographic signals, experiments are conducted to show the anticipatory behavior of electromyographic signals with respect to speech signals. Additionally, we demonstrate how to develop p...

In the paper we investigate methods suitable for practical implementation in a recognition system that is to classify telephone input in form of isolated words/phrases belonging to large vocabularies with equiprobable entries, such as people names, city and local names, etc. Specifically for Czech language we propose a pronunciation lexicon with a prefix-stem-sufix arrangement combined with app...