1 citations · 1 across the 4 of their papers we have counts for
5 papers
Subphonetic Acoustic Modeling via Optimal Transport for Pronunciation Assessment
Haopeng Geng, Jiun-Ting Li, Daisuke Saito +1
Pronunciation assessment requires acoustic evidence that is temporally precise, diagnostically meaningful, and faithful to the learner's actual production. However, existing acoust…
Beyond Acoustic Sparsity and Linguistic Bias: A Prompt-Free Paradigm for Mispronunciation Detection and Diagnosis
Haopeng Geng, Longfei Yang, Xi Chen +3
Mispronunciation Detection and Diagnosis (MDD) requires modeling fine-grained acoustic deviations. However, current ASR-derived MDD systems often face inherent limitations. In part…
A Perception-Based L2 Speech Intelligibility Indicator: Leveraging a Rater's Shadowing and Sequence-to-sequence Voice Conversion
Haopeng Geng, Daisuke Saito, Nobuaki Minematsu
Evaluating L2 speech intelligibility is crucial for effective computer-assisted language learning (CALL). Conventional ASR-based methods often focus on native-likeness, which may f…
A Pilot Study of Applying Sequence-to-Sequence Voice Conversion to Evaluate the Intelligibility of L2 Speech Using a Native Speaker's Shadowings
Haopeng Geng, Daisuke Saito, Nobuaki Minematsu
Utterances by L2 speakers can be unintelligible due to mispronunciation and improper prosody. In computer-aided language learning systems, textual feedback is often provided using…
Simulating Native Speaker Shadowing for Nonnative Speech Assessment with Latent Speech Representations
Haopeng Geng, Daisuke Saito, Nobuaki Minematsu
Evaluating speech intelligibility is a critical task in computer-aided language learning systems. Traditional methods often rely on word error rates (WER) provided by automatic spe…