Introducing pronunciation models into decoding has proven beneficial for LVCSR. As Minimum Phone Error (MPE) training has almost become a standard scheme for acoustic modeling, a discriminative pronunciation modeling method is investigated under the framework of MPE training. In order to bring the pronunciation models into MPE training, the auxiliary function of MPE training is rewritten at wor...

This paper discusses several relevant issues concerning the pronunciation of proper names. Although it was motivated by the experience of the ONOMASTICA European project, it re ects a personal view, not constituting, therefore, an o cial document of the project. The major outcome of the project was the production of two important linguistic resources: the set of 11 national pronunciation lexica...

This paper presents an approach for the generation and selection of pronunciation transcriptions for a exible word recognizer. The basic idea is to produce pronunciation variants and corresponding scores with a set of pronunciation variation rules, which are weighted with their frequencies of occurence measured on the training data. This approach addresses the problem of interfering transcripti...

In this research, we propose a hybrid approach for acoustic and pronunciation modeling for Arabic speech recognition. The hybrid approach benefits from both vocalized and non-vocalized Arabic resources, based on the fact that the amount of non-vocalized resources is always higher than vocalized resources. Two speech recognition baseline systems were built: phonemic and graphemic. The two baseli...

Recently, a novel acoustic representation of speech was proposed, where dimensions of the non-linguistic factors can hardly be seen. Using this structural representation, individual learners were described as distorted phonemic structures and automatic evaluation of the pronunciation was investigated. This paper describes two new analyses using the proposed method. The first analysis is done to...

This paper discusses several relevant issues concerning the pronunciation of proper names. Although it was motivated by the experience of the ONOMASTICA European project, it reeects a personal view, not constituting, therefore, an oocial document of the project. The major outcome of the project was the production of two important linguistic resources: the set of 11 national pronunciation lexica...

The reported study was aimed at developing effective techniques for reducing learner cognitive overload while using pinyin (a phonetic system) to learn Chinese language. Learning effects of two instructional conditions (character-pinyin-pronunciation and character-pronunciation) were compared for learners with different levels of prior Mandarin proficiency and pinyin knowledge. It was expected ...

We present in this paper a statistical model for languageindependent bi-directional conversion between spelling and pronunciation, based on joint grapheme/phoneme units extracted from automatically aligned data. The model is evaluated on spelling-to-pronunciation and pronunciation-tospelling conversion on the NetTalk database and the CMU dictionary. We also study the effect of including lexical...

In this paper 1 two diierent models of pronunciation are presented: the rst model is based on a rule set compiled by an expert, while the second is statistically based, exploiting a survey about pronunciation variants occurring in training data. Both models generate pronunciation variants from the canonic forms of words. The two models are evaluated by applying them to the task of automatic seg...

This study aims to investigate the current conditions of pronunciation teaching and learning in a local university through a questionnaire. The subjects majoring in English Education agree that accuracy rather than intelligibility should be adopted as the criterion for English teachers. Though the importance of pronunciation is well recognized by the subjects, instruction lags far behind the le...