Speech technologies and the assessment of second language speaking: Approaches, challenges, and opportunities
This article provides an overview and evaluation of the uses—actual and potential—of
automatic speech recognition (ASR) and spoken dialogue systems (SDS), related …
automatic speech recognition (ASR) and spoken dialogue systems (SDS), related …
Improved mispronunciation detection with deep neural network trained acoustic models and transfer learning based logistic regression classifiers
Mispronunciation detection is an important part in a Computer-Aided Language Learning
(CALL) system. By automatically pointing out where mispronunciations occur in an …
(CALL) system. By automatically pointing out where mispronunciations occur in an …
Computer-assisted pronunciation training: From pronunciation scoring towards spoken language learning
This paper reviews the research approaches used in computer-assisted pronunciation
training (CAPT), addresses the existing challenges, and discusses emerging trends and …
training (CAPT), addresses the existing challenges, and discusses emerging trends and …
Learning L2 pronunciation with a mobile speech recognizer: French/y/.
D Liakin, W Cardoso, N Liakina - Calico Journal, 2015 - JSTOR
This study investigates the acquisition of the L2 French vowel/y/in a mobileassisted learning
environment, via the use of automatic speech recognition (ASR). Particularly, it addresses …
environment, via the use of automatic speech recognition (ASR). Particularly, it addresses …
Directions for the future of technology in pronunciation research and teaching
MG O'Brien, TM Derwing, C Cucchiarini… - Journal of Second …, 2018 - jbe-platform.com
This paper reports on the role of technology in state-of-the-art pronunciation research and
instruction, and makes concrete suggestions for future developments. The point of departure …
instruction, and makes concrete suggestions for future developments. The point of departure …
[PDF][PDF] Automatic error detection in pronunciation training: Where we are and where we need to go
SM Witt - International Symposium on automatic detection on …, 2012 - researchgate.net
This paper discusses the state of the art of research in computer assisted pronunciation
teaching as of early 2012. A discussion of all major components contributing to …
teaching as of early 2012. A discussion of all major components contributing to …
Automated Scoring of Nonnative Speech Using the SpeechRaterSM v. 5.0 Engine
This research report provides an overview of the R&D efforts at Educational Testing Service
related to its capability for automated scoring of nonnative spontaneous speech with the …
related to its capability for automated scoring of nonnative spontaneous speech with the …
Feasibility of automatic speech recognition for providing feedback during tablet-based treatment for apraxia of speech plus aphasia
Purpose Individuals with neurogenic speech disorders require ongoing therapeutic support
to achieve functional communication goals. Alternative methods for service delivery, such as …
to achieve functional communication goals. Alternative methods for service delivery, such as …
A dimensionality reduction-based efficient software fault prediction using Fisher linear discriminant analysis (FLDA)
Software quality is an important factor in the success of software companies. Traditional
software quality assurance techniques face some serious limitations especially in terms of …
software quality assurance techniques face some serious limitations especially in terms of …
Non-native children speech recognition through transfer learning
This work deals with non-native children's speech and investigates both multi-task and
transfer learning approaches to adapt a multi-language Deep Neural Network (DNN) to …
transfer learning approaches to adapt a multi-language Deep Neural Network (DNN) to …