🔗 Who cites «Transformer-Based Multi-Aspect Multi-Granularity Non-Native English Speaker Pronunciation Assessment»

11 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Transformer-Based Multi-Aspect Multi-Granularity Non-Native English Speaker Pronunciation Assessment»

1. Leveraging Allophony in Self-Supervised Speech Models for Atypical Pronunciation AssessmentConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kwanghee Choi, Eunjung Yeo, Kalvin Chang, et al.2025 · 8 citations
2. ZIPA: A family of efficient models for multilingual phone recognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Jian Zhu, Farhan Samir, Eleanor Chodroff, et al.2025 · 7 citations
3. Unlocking Large Audio-Language Models for Interactive Language LearningFindings of the Association for Computational LinguisticsHongfu Liu, Zhouying Cui, Xiangming Gu, et al.2026 · 1 citation
4. English Pronunciation Evaluation without Complex Joint Training: LoRA Fine-tuned Speech Multimodal LLMarXiv:2509.02915Taekyung Ahn, Hosung Nam2025 · 1 citation
5. Automated detection of pronunciation errors in non-native English speech employing deep learningarXiv:2209.06265Daniel Korzekwa2022 · 1 citation
6. Intent vs. Surface: Recovering Acoustic Realization from Modern ASR for Pronunciation TrainingWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Seongjin Park2026

5 more papers of our library cite it; they have no page here yet.

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