[PDF][PDF] Explore wav2vec 2.0 for Mispronunciation Detection.
This paper presents an initial attempt to use self-supervised learning for Mispronunciaiton
Detection. Unlike existing methods that use speech recognition corpus to train models, we …
Detection. Unlike existing methods that use speech recognition corpus to train models, we …
Automatic Pronunciation Assessment--A Review
Pronunciation assessment and its application in computer-aided pronunciation training
(CAPT) have seen impressive progress in recent years. With the rapid growth in language …
(CAPT) have seen impressive progress in recent years. With the rapid growth in language …
[PDF][PDF] Automatic Scoring at Multi-Granularity for L2 Pronunciation.
B Lin, L Wang, X Feng, J Zhang - Interspeech, 2020 - isca-archive.org
Automatic pronunciation assessment and error detection play an important part of Computer-
Assisted Pronunciation Training (CAPT). Traditional approaches normally focus on scoring …
Assisted Pronunciation Training (CAPT). Traditional approaches normally focus on scoring …
Hierarchical pronunciation assessment with multi-aspect attention
Automatic pronunciation assessment is a major component of a computer-assisted
pronunciation training system. To provide in-depth feedback, scoring pronunciation at …
pronunciation training system. To provide in-depth feedback, scoring pronunciation at …
Mispronunciation detection and diagnosis using deep neural networks: a systematic review
The increased need for foreign language learning, along with advances in speech
technology have heightened interest in computer-assisted pronunciation teaching (CAPT) …
technology have heightened interest in computer-assisted pronunciation teaching (CAPT) …
Multilingual speech evaluation: case studies on English, Malay and Tamil
Speech evaluation is an essential component in computer-assisted language learning
(CALL). While speech evaluation on English has been popular, automatic speech scoring …
(CALL). While speech evaluation on English has been popular, automatic speech scoring …
Exploiting information from native data for non-native automatic pronunciation assessment
B Lin, L Wang - 2022 IEEE Spoken Language Technology …, 2023 - ieeexplore.ieee.org
This paper proposes an end-to-end pronunciation assessment method to exploit the
adequate native data and reduce the need for non-native data costly to label. To obtain …
adequate native data and reduce the need for non-native data costly to label. To obtain …
Phoneme mispronunciation detection by jointly learning to align
B Lin, L Wang - … 2022-2022 IEEE International Conference on …, 2022 - ieeexplore.ieee.org
Phoneme mispronunciation detection plays an important role in Computer-Assisted
Pronunciation Training. Traditional methods either rely on phone recognition, which has the …
Pronunciation Training. Traditional methods either rely on phone recognition, which has the …
Improving mispronunciation detection of mandarin tones for non-native learners with soft-target tone labels and BLSTM-based deep tone models
We investigate the effectiveness of soft-target tone labels and sequential context information
for mispronunciation detection of Mandarin lexical tones pronounced by second language …
for mispronunciation detection of Mandarin lexical tones pronounced by second language …
[PDF][PDF] Child Speech Disorder Detection with Siamese Recurrent Network Using Speech Attribute Features.
Acoustics-based automatic assessment is a highly desirable approach to detecting speech
sound disorder (SSD) in children. The performance of an automatic speech assessment …
sound disorder (SSD) in children. The performance of an automatic speech assessment …