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...

This paper describes the architecture and the implementation of a full-scale pronunciation lexicon for Turkish using finite state technology. The system produces at its output, a parallel representation of the pronunciation and the morphological analysis of the word form so that morphological disambiguation can be used to disambiguate pronunciation. The pronunciation representation is based on ...

in order to simplify the pronunciation ofthe adult's words,children use phonological processes inthe initial years oftheir speech growth.the present study aims at considering phonological processes ina group oftwo tofour-year old farsi speaking children.the results indicate that itisnot possible to correctly and precisely account forthe occurrences ofsuch processes in children’s pronunciat...

We propose a model-driven method for ensuring the quality of pronunciation dictionaries. The key ingredient is computing an alignment between letter strings and phoneme strings, a standard technique in pronunciation modeling. The novel aspect of our method is the use of informative, parametric alignment models which are refined iteratively as they are tested against the data. We discuss the use...

This paper presents the design and performance of a Malay grapheme to phoneme (G2P) tool for generating the pronunciation dictionary for a Malay automatic speech recognition system (ASR). The G2P tool is a rule based system. It is flexible in adding and removing rules, and handling of English words. The G2P tool also contains morphological and syllable tool, which it uses to determine the pronu...

In this paper, we propose speaker-dependent multiple-pronunciation lexical modeling for improving the performance of dysarthric automatic speech recognition (ASR). For each dysarthric speaker, a phoneme confusion matrix is first constructed from the results of phoneme recognition. Then, pronunciation variation rules are extracted by investigating the phoneme confusion matrix, and they are incor...

In this paper, a data-driven approach to statistical modeling pronunciation variation is proposed. It consists of learning stochastic pronunciation rules. The proposed method jointly models different rules that define the same transformation. Hierarchic Grouping Rule Inference (HIEGRI) algorithm is proposed to generate this model based on graphs. HIEGRI algorithm detects the common patterns of ...