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 …
Determinants affecting teachers' adoption of AI-based applications in EFL context: An analysis of analytic hierarchy process
Y Du, H Gao - Education and Information Technologies, 2022 - Springer
Artificial Intelligence (AI) has been exerting a revolutionary and profound impact on the
teaching of English as Foreign Language (EFL) for decades. In spite of these acknowledged …
teaching of English as Foreign Language (EFL) for decades. In spite of these acknowledged …
Exploring deep learning architectures for automatically grading non-native spontaneous speech
We investigate two deep learning architectures reported to have superior performance in
ASR over the conventional GMM system, with respect to automatic speech scoring. We use …
ASR over the conventional GMM system, with respect to automatic speech scoring. We use …
Automatic assessment of English proficiency for Japanese learners without reference sentences based on deep neural network acoustic models
Speech-based computer-assisted language learning (CALL) systems should recognize the
utterances of the learner with high accuracy and evaluate the language proficiency of the …
utterances of the learner with high accuracy and evaluate the language proficiency of the …
Computer-implemented systems and methods for automatically generating an assessment of oral recitations of assessment items
Provide automatic assessment of oral recitations during computer based language
assessments using a trained neural network to automate the scoring and feedback …
assessments using a trained neural network to automate the scoring and feedback …
Computer-implemented systems and methods for automatically generating an assessment of oral recitations of assessment items
Provide automatic assessment of oral recitations during computer based language
assessments using a trained neural network to automate the scoring and feedback …
assessments using a trained neural network to automate the scoring and feedback …
Etlt 2021: Shared task on automatic speech recognition for non-native children's speech
The paper presents the Second ASR Challenge for Non-native Children's Speech proposed
as a Special Session at Interspeech 2021, following the successful first challenge at …
as a Special Session at Interspeech 2021, following the successful first challenge at …
Overview of the interspeech tlt2020 shared task onasr for non-native children's speech
We present an overview of the ASR challenge for non-native children's speech organized for
a special session at Interspeech2020. The data for the challenge was obtained in the …
a special session at Interspeech2020. The data for the challenge was obtained in the …
[HTML][HTML] Gauging the validity of machine learning-based temporal feature annotation to measure fluency in speech automatically
Abstract Machine learning (ML) techniques allow for automatically annotating various
temporal speech features, particularly by the cascade connection of ML-based modules …
temporal speech features, particularly by the cascade connection of ML-based modules …
Automated speech scoring system under the lens: evaluating and interpreting the linguistic cues for language proficiency
Abstract English proficiency assessments have become a necessary metric for filtering and
selecting prospective candidates for both academia and industry. With the rise in demand for …
selecting prospective candidates for both academia and industry. With the rise in demand for …