An automated essay scoring systems: a systematic literature review
Assessment in the Education system plays a significant role in judging student performance.
The present evaluation system is through human assessment. As the number of teachers' …
The present evaluation system is through human assessment. As the number of teachers' …
On the application of large language models for language teaching and assessment technology
The recent release of very large language models such as PaLM and GPT-4 has made an
unprecedented impact in the popular media and public consciousness, giving rise to a …
unprecedented impact in the popular media and public consciousness, giving rise to a …
Confidence estimation and deletion prediction using bidirectional recurrent neural networks
The standard approach to assess reliability of automatic speech transcriptions is through the
use of confidence scores. If accurate, these scores provide a flexible mechanism to flag …
use of confidence scores. If accurate, these scores provide a flexible mechanism to flag …
Asr-free pronunciation assessment
Most of the pronunciation assessment methods are based on local features derived from
automatic speech recognition (ASR), eg, the Goodness of Pronunciation (GOP) score. In this …
automatic speech recognition (ASR), eg, the Goodness of Pronunciation (GOP) score. In this …
Bi-directional lattice recurrent neural networks for confidence estimation
The standard approach to mitigate errors made by an automatic speech recognition system
is to use confidence scores associated with each predicted word. In the simplest case, these …
is to use confidence scores associated with each predicted word. In the simplest case, these …
[HTML][HTML] Evaluating OpenAI's Whisper ASR: Performance analysis across diverse accents and speaker traits
This study investigates Whisper's automatic speech recognition (ASR) system performance
across diverse native and non-native English accents. Results reveal superior recognition in …
across diverse native and non-native English accents. Results reveal superior recognition in …
LearnerVoice: A Dataset of Non-Native English Learners' Spontaneous Speech
Prevalent ungrammatical expressions and disfluencies in spontaneous speech from second
language (L2) learners pose unique challenges to Automatic Speech Recognition (ASR) …
language (L2) learners pose unique challenges to Automatic Speech Recognition (ASR) …
Automatic grammatical error detection of non-native spoken learner english
Automatic language assessment and learning systems are required to support the global
growth in English language learning. They need to be able to provide reliable and …
growth in English language learning. They need to be able to provide reliable and …
Investigating the effects of task type and linguistic background on accuracy in automated speech recognition systems: Implications for use in language assessment of …
As a branch of artificial intelligence, automated speech recognition (ASR) technology is
increasingly used to detect speech, process it to text, and derive the meaning of natural …
increasingly used to detect speech, process it to text, and derive the meaning of natural …
Using data augmentation and time-scale modification to improve asr of children's speech in noisy environments
Current ASR systems show poor performance in recognition of children's speech in noisy
environments because recognizers are typically trained with clean adults' speech and …
environments because recognizers are typically trained with clean adults' speech and …