This paper examines the phenomenon of spelling pronunciation in Ghanaian English and shows that it has become one of the features of pronunciation that have diverged from „RP‟ (Received Pronunciation), the standard norm of English language proficiency that is taught to Ghanaians. The empirical investigation of spelling pronunciation was a selection of 50 words of English based on observation of...

This paper presents different methods of handling pronunciation variations in Cantonese large-vocabulary continuous speech recognition. In an LVCSR system, three knowledge sources are involved: a pronunciation lexicon, acoustic models and language models. In addition, a decoding algorithm is used to search for the most likely word sequence. Pronunciation variation can be handled by explicitly m...

PLASER is a multimedia tool with instant feedback designed to teach English pronunciation for high-school students of Hong Kong whose mother tongue is Cantonese Chinese. The objective is to teach correct pronunciation and not to assess a student’s overall pronunciation quality. Major challenges related to speech recognition technology include: allowance for non-native accent, reliable and corre...

Generally, a speech recognition system uses a fixed set of pronunciations according to the dictionary for training and decoding. However, even a well-defined dictionary cannot be used to support all variations in human’s pronunciation. Besides, in order to cover all possible pronunciations, the size of the dictionary would be too large to implement. This paper presents efficient strategies for ...

Pronunciation of proper names that have different and varied language sources is an extremely hard task, even for humans. This thesis presents an attempt to improve automatic pronunciation of proper names by modeling the way humans do it, and tries to eliminate synthesis errors that humans would never make. It does so by taking into account the different language and language family sources and...

Pronunciation variation in conversational speech has caused significant amount of word errors in large vocabulary automatic speech recognition. Rule-based approaches and decision-tree based approaches have been previously proposed to model pronunciation variation. In this paper, we report our work on modeling pronunciation variation using artificial neural networks (ANN). The results we achieve...

In this paper an algorithm and rst results from our investigations in automatically learning pronunciation variations from speech data are presented. Pronunciation dictionaries establish an important feature in state-of-the-art speech recognition systems. In most systems only simple dictionaries containing the canonical pronunciation forms are implemented. However, for a good recognition perfor...

This paper reports on the early stages of a locally funded research and development project taking place at Rennes 2 university. It aims at developing a comprehensive pedagogical framework for pronunciation training for adult learners of English. This framework will combine a direct approach to pronunciation training (face-to-face teaching) with online instruction using and adapting existing Au...

Speech corpora play an important role in phonetic research and have been applied in daily life. Their application can be found in pronunciation teaching and learning. This article takes Jianghuai mandarin, a transitional dialect between northern and southern dialects in China, as an example to illustrate the necessity and procedures about the construction of an English speech corpus of learners...

The context in which a phoneme occurs leads to consistent differences in how it is pronounced. Phonologists employ a variety of contextual descriptors, based on factors such as stress and syllable boundaries, to explain phonological variation. However, in developing pronunciation networks for speech recognition systems, little explicit use is made of context other than the use of whole word mod...