Pedagogically, CAPT systems can be improved by giving effective feedback based on the severity of pronunciation errors. We obtained perceptual gradation of L2 English mispronunciations through crowdsourcing, and conducted quality control utilizing the WorkerRank algorithm to refine the collected results and reach a reliable consensus on the ratings of word mispronunciations. This paper presents...

This study addresses the issue of the existence of whole-word phonological representations of disyllabic and multisyllabic words in the Chinese mental lexicon. A Cantonese brain-injured dyslexic individual with semantic deficits, YKM, was assessed on his abilities to read aloud and to comprehend disyllabic words containing homographic heterophonous characters, the pronunciation of which can onl...

In order to better teach pronunciation to students, it is necessary to gain a better appreciation of the types of pronunciation patterns and issues that Japanese speakers encounter when attempting to speak in English. To highlight some of these issues, a sample dialogue between two Japanese learners was recorded and analyzed for segmental and suprasegmental features. The analysis revealed that ...

We introduce the problem of learning pronunciations of out-ofvocabulary words from word recognition mistakes made by an automatic speech recognition (ASR) system. This question is especially relevant in cases where the ASR engine is a black box – meaning that the only acoustic cues about the speech data come from the word recognition outputs. This paper presents an expectation maximization appr...

Information technology provides a lot of convenience for humans in completing their tasks and getting results according to targets. In line with that, language teachers have duty find out the level skills forms errors students. Machine Learning as part can be maximized detect Arabic speaking error This study was conducted qualitative approach. Data were collected via SIAKAD machine learning con...

In this article we present a novel method for automatic pronunciation error detection of children’s speech. A phone graph is generated from the audio segment and augmented if necessary with alignments of phonetic transcriptions of the word to score. This graph is used for extracting phone-level features using conventional HMM/GMM acoustic scores and Support Vector Machine (SVM) classifiers acti...

In spite of difficulty in defining the syllable unequivocally, and controversy over its role in theories of spoken and written language processing, the syllable is a potentially useful unit in several practical tasks which arise in computational linguistics and speech technology. For instance, syllable structure might embody valuable information for building word models in automatic speech reco...

Tonal errors pose a serious problem to Mandarin Chinese learners, making them stumble in their communication. The purpose of this paper is to investigate beginner level Japanese students’ difficulties in the perception and pronunciation of disyllabic words, particularly to find out which combinations of tones these errors mostly occur in. As a result, the errors made by the 10 subjects were mos...