解焱陆中文主页论文成果北京语言大学教师个人主页系统

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姓名：解焱陆
性别：男
在职信息：在职
职称：教授
单位：信息科学学院
学历：博士研究生毕业
学位：博士
毕业院校：中国科学技术大学
联系方式：xieyanlu # blcu dot edu dot cn

论文成果

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[1] 黄良杰,原湉,梁芸铭,陈泽裕,文灿,解焱陆,张劲松,柯登峰. LIMI-VC: A LIGHT WEIGHT VOICE CONVERSION MODEL WITH MUTUAL INFORMATION DISENTANGLEMENT. Proceedings of 2023 IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP). 2023-6. 1-5
[2] 李瑞珊,高迎明,解焱陆,柯登峰,张劲松. Dual Audio Encoders Based Mandarin Prosodic Boundary Prediction by Using Multi-Granularity Prosodic Representations. INTERSPEECH 2023. 2023-8. p 4793-4797
[3] 李瑞珊,高迎明,解焱陆,柯登峰,张劲松. Dual Audio Encoders Based Mandarin Prosodic Boundary Prediction by Using Multi-Granularity Prosodic Representations. INTERSPEECH 2023. 2023-8. p 4793-4797
[4] 陈琪,林炳怀,解焱陆. An Alignment Method Leveraging Articulatory Features for Mispronunciation Detection and Diagnosis in L2 English. Interspeech 2022. 2022-9. 2022年，4342-4346页，EI会议
[5] 陈琪,林炳怀,解焱陆. An Alignment Method Leveraging Articulatory Features for Mispronunciation Detection and Diagnosis in L2 English. Interspeech 2022. 2022-9. 2022年，4342-4346页，EI会议
[6] 解焱陆,李曼,李紫叶. Mandarin Chinese Consonants Landmark Detection Based on Segmented Phoneme Classification. 2021 International Conference on Computer Information Science and Artificial Intelligence. 2021-9. 2021年，147-152页
[7] 郝韵,解焱陆,林炳怀,张劲松. 基于GPT-2和互信息的语言单位信息量对韵律特征的影响（Prosodic Effects of Speech Unit's Information Based on GPT-2 and Mutual Information[）. Proceedings of the 21st Chinese National Conference on Computational Linguistics. 2022-10. 2022年，46-55页
[8] 张微,解焱陆,Binghuai Lin,Liyuan Wang,张劲松. Estimation of the Underlying F0 Range of a Speaker from the Spectral Features of a Brief Speech Input. Applied Sciences. 2022-6. 12卷，1-12页，Q2
[9] 郭铭昊,解焱陆. 发音属性优化建模及其在偏误检测中的应用. 中文信息学报. 2022-1. 2022年第1期，164-173页
[10] 郭铭昊,解焱陆. 发音属性优化建模及其在偏误检测中的应用. 中文信息学报. 2022-1. 2022年第1期，164-173页
[11] 解焱陆,李曼,董文伟. The Study of L2 Mispronunciation Detection Based on Mandarin Landmarks. 2021 International Conference on Computer Vision and Pattern Analysis. 2021-11. 12158卷，第07篇
[12] Yuqing Zhang,Zhu Li,Bin Wu,解焱陆,Binghuai Lin,张劲松. Relationships Between Perceptual Distinctiveness, Articulatory Complexity and Functional Load in Speech Communication. Interspeech 2021. 2021-8. 1733-1737页
[13] 解焱陆,陈月,李曼. Convolution Forgetting Curve Model for Repeated Learning. 2020 International Conference on Artificial Intelligence and Education (ICAIE). 2020-6. 2020年，447-454页
[14] 戴旺,张劲松,高迎明,魏巍,柯登峰,林炳怀,解焱陆. Formant Tracking Using Dilated Convolutional Networks Through Dense Connection with Gating Mechanism. Interspeech 2020. 2020-10. 2020年，150-154页
[15] 冯晓莉,解焱陆,邓雅乐,李博学. A Dynamic 3D Pronunciation Teaching Model Based on Pronunciation Attributes and Anatomy. Interspeech 2020. 2020-10. 2020年，1023-1024页

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