This research aims to observe pronunciation errors and vowels of Grade IX students MTs Harapan Jasa Makmur. Based on the observation, writer noted that had difficulty differentiating English vowels. The type this was a qualitative method, which is descriptive tends use analysis it in form words instead numbers. In study, main data collection techniques were participant in-depth interviews, docu...

English pronunciation instruction is difficult for some reasons. Teachers are left without clear guidelines and are faced with contradictory practices for pronunciation instruction. There is no well-established systematic method of deciding what to teach, when, and how to do it. As a result of these problems, pronunciation instruction is less important and teachers are not very comfortable in t...

This paper reports findings from an analysis of errors made by an automatic speech recogniser trained and tested with 3-10-year-old European Portuguese children's speech. We expected and were able to identify frequent pronunciation error patterns in the children's speech. Furthermore, we were able to correlate some of these pronunciation error patterns and automatic speech recognition errors. T...

In this study, we present a pronunciation scoring method for second language learners of English (hereafter, L2 learners). This study presents a method using both confidence scoring and classifiers. Classifiers have an advantage over confidence scoring for specialization in the specific phonemes where L2 learners make frequent errors. Classifiers (Landmark-based Support Vector Machines) were tr...

Pronunciation modeling in automatic speech recognition systems has had mixed results in the past; one likely reason for poor performance is the increased confusability in the lexicon from adding new pronunciation variants. In this work, we propose a new framework for determining lexically confusable words based on inverted finite state transducers (FSTs); we also present experiments designed to...

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 paper, we describe a method for automatically generating a domain-dependent pronunciation lexicon using a data-driven approach. We also introduce an adaptation method to alleviate some of the errors caused by the data-driven rules which are derived from a relatively small volume of speech corpus. At first, pronunciation variation rules are extracted from a large volume of speech corpus ...

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...