The following publications are possibly variants of this publication:
- Automatic Evaluation of Hypernasality and Consonant Misarticulation in Cleft Palate SpeechLing He, Jing Zhang, Qi Liu, Heng Yin, Margaret Lech. spl, 21(10):1298-1301, 2014. [doi]
- Automatic detection of glottal stop in cleft palate speechLing He, Jing Zhang, Qi Liu, Junpeng Zhang, Heng Yin, Margaret Lech. bspc, 39:230-236, 2018. [doi]
- Automatic Hypernasality Detection in Cleft Palate Speech Using CNNXiyue Wang, Ming Tang, Sen Yang, Heng Yin, Hua Huang, Ling He. cssp, 38(8):3521-3547, 2019. [doi]
- Automatic detection of pharyngeal fricatives in cleft palate speech using acoustic features based on the vocal tract area spectrumJia Fu, Fei He, Heng Yin, Ling He. csl, 68:101203, 2021. [doi]
- Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate SpeechKaitao Song, Teng Wan, Bixia Wang, Huiqiang Jiang, Luna Qiu, Jiahang Xu, Liping Jiang, Qun Lou, YuQing Yang, Dongsheng Li, Xudong Wang, Lili Qiu. interspeech 2022: 4820-4824 [doi]
- Automatic evaluation of resonance and articulation disorders in cleft palate speechLing He, Jie Tan, HuaQing Hao, Ming Tang, Heng Yin, Margaret Lech. chinasip 2015: 358-362 [doi]
- Automatic Evaluation of Hypernasality Based on a Cleft Palate Speech DatabaseLing He, Jing Zhang, Qi Liu, Heng Yin, Margaret Lech, Yunzhi Huang. jms, 39(5):61, 2015. [doi]