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Pronunciation space models are constructed using unsupervised clustering method guided by human scores and phone-level posterior probability. By using ...
Posterior probability is mostly used for pronunciation evaluation. This paper introduces pronunciation space models to calculate posterior probability ...
Feb 13, 2024 · N. Minematsu, "Pronunciation Assessment based upon the Compatibility between a Learner's Pronunciation Structure and the Target Language's ...
Pronunciation Space Models for Pronunciation Evaluation. Si Wei, Yi-Qian Pan, Guo-Ping Hu, Yu Hu, Ren-Hua Wang. Posterior probability is mostly used for ...
May 15, 2015 · Pronunciation space models are constructed using unsupervised clustering method guided by human scores and phone-level posterior probability. By ...
Several approaches have been proposed to address the phoneme-level pronunciation verification problem, which can be categorized, in terms of the detection ...
Jul 12, 2024 · In this paper, we propose a scoring system based on LLMs, motivated by their positive impact on text-related scoring tasks. Specifically, the ...
Missing: Evaluation. | Show results with:Evaluation.
A new method for mispronunciation detection using Support Vector Machine based on Pronunciation Space Models. This paper presents two new ideas for text ...
Feb 29, 2024 · In the context of GOP, the acoustic model evaluates how closely the sounds in the speaker's utterance match the expected phonemes of the correct ...
Missing: Space | Show results with:Space
Dec 6, 2023 · tomatic pronunciation assessment covering both segmental and supra-segmental space. The paper offers insights into the following: • Modeling ...