Comparison of L2 Korean pronunciation error patterns from five L1 backgrounds by using automatic phonetic transcription

EJ Yeo, H Ryu, J Lee, S Kim, M Chung - arxiv preprint arxiv:2306.10821, 2023 - arxiv.org
This paper presents a large-scale analysis of L2 Korean pronunciation error patterns from
five different language backgrounds, Chinese, Vietnamese, Japanese, Thai, and English, by …

Domain generalization for language-independent automatic speech recognition

H Gao, J Ni, Y Zhang, K Qian, S Chang… - Frontiers in Artificial …, 2022 - frontiersin.org
A language-independent automatic speech recognizer (ASR) is one that can be used for
phonetic transcription in languages other than the languages in which it was trained …

[PDF][PDF] Development of a sociocultural phonological program to support young Indigenous children's consonant production

CD Pogson - 2021 - ro.uow.edu.au
Oral language proficiency and phonological skills underpin children's literacy development.
In Australian schools, literacy is based on Standard Australian English (SAE). Children who …

Enforcing constraints for multi-lingual and cross-lingual speech-to-text systems

J Ni - 2021 - ideals.illinois.edu
The recent development of neural network-based automatic speech recognition (ASR)
systems has greatly reduced the state-of-the-art phone error rates in several languages …