Amalia Zahra

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This paper describes a prototype of a computer-assisted pronunciation training system called MySpeech. The interface of the MySpeech system is web-based and it currently enables users to practice pronunciation by listening to speech spoken by native speakers and tuning their speech production to correct any mispronunciations detected by the system. This(More)
This paper presents a method to introduce the notion of a student selected difficulty level for the task of pronunciation learning of a second language. Three difficulty levels, novice, acceptable and native, are constructed using a tri-/biand unigram language model each using a specific set of broad phonetic groups determined using underspecification. The(More)
This paper presents a novel approach to phonetic-based language identification (LID). Motivated by the assumption underlying phonotactic LID that accounting for permissible phone sequences supports the process of distinguishing one language from another, this paper presents a novel approach based on the automatic identification of phone sequences of(More)
The work presented in this paper explores the use of Indonesian transliteration to support English pronunciation practice. It is mainly aimed for Indonesian speakers who have no or minimum English language skills. The approach implemented combines a rule-based and a statistical method. The rules of English-Phone-to-Indonesian-Grapheme mapping are(More)
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