This paper introduces Ultraspeech-player, a software dedicated to the visualization of ultrasound and video sequences of the tongue and lips. This software is designed for speech therapy and pronunciation training applications and aims at increasing the articulatory awareness of the learner. Ultraspeech-player includes an audiovisual time-stretching algorithm allowing the user to slow-down in r...

The development of professional competencies to improve speech culture in oral and written is significant for students who receive the specialty a teacher-speech therapist. Description methods organizing educational process inclusion profile disciplines "Practicum on voice training expressive reading", "Technology forming pronunciation side speech" systematic work mastering basic skills: stable...

Automated speech recognition systems work typically with pronunciation dictionary for generating expected phonetic content of particular words in recognized utterance. But the pronunciation can vary in many situations. Besides the cases with more possible pronunciation variants specified manually in the dictionary there are typically many other possible changes in the pronunciation depending on...

Automatic speech recognition is used to assess spoken English learner pronunciation based on the authentic intelligibility of the learners’ spoken responses determined from deep neural network (DNN) model predictions of transcription correctness. Using numeric features produced by PocketSphinx alignment mode and many recognition passes searching for the substitution and deletion of each expecte...

In the frame of the Inco-Copernicus program of the European Commission titled „A Multimedia Multilingual Teaching and Training System for Speech Handicapped children” an audiovisual pronunciation teaching and training method and software system has been developed for hearing and speechhandicapped persons to help them to control their speech production. During a part of the training the interpre...

The present study set out to identify the problematic areas of pronunciation among Iranian female EFL learners. Further, this study investigated the relationship between empathy and authentic pronunciation, along with gender as a moderator variable. Comparing segmental features and phonological processes of both languages helped teachers to predict the target errors. To reach such a goa...

The aim of the current study was to investigate whether L2 minimal pairs practice would have an effect on Iranian intermediate EFL learners’ pronunciation accuracy. For this purpose, 30 Iranian intermediate EFL learners at Simin institute participated in the experiment of the study. The selection of subjects was done from among 150 EFL learners at intermediate level. In order to make subj...

We propose a novel method for lexicon expansion using pronunciation variations extracted on the basis of speaker-related deviations in ASR error statistics. Two types of pronunciation variations were extracted: common pronunciation variations found with most speakers, and speaker-related pronunciation variations, identified on the basis of recognition error elements weighted by idf and tf-idf m...

The first goal of this study was to investigate the effect of changing several properties of a continuous speech recognizer (CSR) on the automatic phonetic transcriptions generated by the same CSR. Our results show that the quality of the automatic transcriptions can be improved by using short hidden Markov models (HMMs) and by reducing the amount of contamination in the HMMs. The amount of con...

One of the main clinical applications of speech technology is in voice-enabled assistive technology for people with disordered speech. Progress in this area is hampered by a sparseness in suitable data and recent research have focused on ways of incorporating knowledge about typical (i.e., un-impaired) speech through the use of e.g., deep belief neural networks. This paper presents a new way of...