Computer Assisted Pronunciation Training systems have become popular tools to train on second languages. Many second language learners prefer to train on pronunciation in a stress free environment with no other listeners. There exists no such tool for training on pronunciation of the Norwegian language. Pronunciation exercises in training systems should be directed at important properties in th...

Objective: The article aims to reveal the features of correction sound culture preschool-age children's speech, effectiveness which has been tested experimentally. Background: speech is a multicomponent formation, covers phonetic correctness speech; general language skills and orthoepic speech. Pedagogical focused on correct errors caused by violation articulation, pronunciation, norms voice st...

This paper proposes a multimedia English learning (MEL) system, based on Hidden Markov Models (HMMs) and mastery theory strategy, for teaching students with the aim of enhancing their English phonetic awareness and pronunciation. It can analyze phonetic structures, identify and capture pronunciation errors to provide students with targeted advice in pronunciation, intonation, rhythm and volume....

In this paper, we propose two methods for automatically obtaining hypotheses about pronunciation variation. To this end, we used two different approaches in which we employed a continuous speech recognizer to derive this information from the speech signal. For the first method, the output of a phone recognition was compared to a reference transcription in order obtain hypotheses about pronuncia...

Second Language Comprehensibility Revisited: Investigating the Effects of Learner Background Dustin Crowther The current study investigated first language (L1) effects on listener judgment of comprehensibility and accentedness in second language (L2) speech. The participants were 60 university-level adult speakers of English from four L1 backgrounds (Chinese, Romance, Hindi, Farsi), with 15 spe...

Aiming at detecting pronunciation errors produced by second language learners and providing corrective feedbacks related with articulation, we address effective articulatory models based on deep neural network (DNN). Articulatory attributes are defined for manner and place of articulation. In order to efficiently train these models of non-native speech without such data, which is difficult to c...

This work presents a new phonetic transcription system based on a tree of hierarchical pronunciation rules expressed as context-specific grapheme-phoneme correspondences. The tree is automatically inferred from a phonetic dictionary by incrementally analyzing deeper context levels, eventually representing a minimum set of exhaustive rules that pronounce without errors all the words in the train...

The aim of this contribution is twofold: evaluating the use of pronunciation variants in read and spontaneous speech and studying the link between word frequencies and pronunciation variants. The dependance of pronunciation variants on a given system connguration is also addressed in the rst part. For the second aspect of this work diierent variant types are deened. A cross-lingual study is car...

This paper reports on the continued activities towards the development of a computer-aided language learning system for teaching Mandarin to Germans. A method for f0 normalization based on maximum likelihood estimation and tone recognition was implemented. Furthermore, a method for detecting the pronunciation errors was tested by calculating the confidence distance between the first and second ...