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基於音段式LMR 對映之語音轉換方法的改進 (Improving of Segmental LMR-Mapping Based Voice Conversion Methods) In Chinese.

, и . ROCLING, Association for Computational Linguistics and Chinese Language Processing (ACLCLP), Taiwan, (2013)

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Using a self-organizing neural network for wafer defect inspection., , и . SMC (5), стр. 4312-4317. IEEE, (2004)An Unsupervised Self-Organizing Neural Network for Automatic Semiconductor Wafer Defect Inspection., , и . ICRA, стр. 3000-3005. IEEE, (2005)A Study on Using Different Audio Lengths in Transfer Learning for Improving Chainsaw Sound Recognition., и . ROCLING, стр. 67-74. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), (2022)基於音段式LMR 對映之語音轉換方法的改進 (Improving of Segmental LMR-Mapping Based Voice Conversion Methods) In Chinese., и . ROCLING, Association for Computational Linguistics and Chinese Language Processing (ACLCLP), Taiwan, (2013)A Study on Using Transfer Learning to Improve BERT Model for Emotional Classification of Chinese Lyrics., , , и . ROCLING, стр. 13-17. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), (2021)Impact of Using Creative Thinking Skills and Open Data on Programming Design in a Computer-Supported Collaborative Learning Environment., , , , и . ICALT, стр. 396-400. IEEE Computer Society, (2016)Exploring the effectiveness of deep neural networks with technical analysis applied to stock market prediction., , , и . Comput. Sci. Inf. Syst., 18 (2): 401-418 (2021)A Cluster-based Personalized Item Recommended Approach on the Educational Assessment System., , , и . Int. J. Emerg. Technol. Learn., 10 (5): 52-58 (2015)An unsupervised neural network approach for automatic semiconductor wafer defect inspection., , , и . Expert Syst. Appl., 36 (1): 950-958 (2009)Human movement science-informed multi-task spatio temporal graph convolutional networks for fitness action recognition and evaluation., , , и . Appl. Soft Comput., (2024)