LW Chen, A Rudnicky - ICASSP 2023-2023 IEEE International …, 2023 - ieeexplore.ieee.org
While Wav2Vec 2.0 has been proposed for speech recognition (ASR), it can also be used for speech emotion recognition (SER); its performance can be significantly improved using …
E Kim, JJ Jeon, H Seo, H Kim - arXiv preprint arXiv:2204.03863, 2022 - arxiv.org
Self-supervised learning (SSL) approaches such as wav2vec 2.0 and HuBERT models have shown promising results in various downstream tasks in the speech community. In particular …
The research community has long studied computer-assisted pronunciation training (CAPT) methods in non-native speech. Researchers focused on studying various model …
Pronunciation assessment and its application in computer-aided pronunciation training (CAPT) have seen impressive progress in recent years. With the rapid growth in language …
FA Chao, TH Lo, TI Wu, YT Sung… - 2022 Asia-Pacific Signal …, 2022 - ieeexplore.ieee.org
As an indispensable ingredient of computer-assisted pronunciation training (CAPT), automatic pronunciation assessment (APA) plays a pivotal role in aiding self-directed …
S Bannò, M Matassoni - 2022 IEEE Spoken Language …, 2023 - ieeexplore.ieee.org
The increasing demand for learning English as a second language has led to a growing interest in methods for automatically assessing spoken language proficiency. Most …
Current leading mispronunciation detection and diagnosis (MDD) systems achieve promising performance via end-to-end phoneme recognition. One challenge of such end-to …
J Zhang, G Tu, S Liu, Z Cai - Algorithms, 2023 - mdpi.com
The rapid development of speech synthesis technology has significantly improved the naturalness and human-likeness of synthetic speech. As the technical barriers for speech …
Y Shen, Q Liu, Z Fan, J Liu, A Wumaier - IEEE Access, 2022 - ieeexplore.ieee.org
Mispronunciation Detection and Diagnosis (MDD) is an essential basic technology in Computer-Assisted Pronunciation Training (CAPT) and Computer-Assisted Language …