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Facial Expression Recognition with deep age.

, , , and . ICME Workshops, page 657-662. IEEE Computer Society, (2017)

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Decoupling Speaker-Independent Emotions for Voice Conversion via Source-Filter Networks., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2023)Multimodal Emotion Recognition based on 2D Kernel Density Estimation for Multiple Labels Fusion., and . APSIPA ASC, page 1484-1491. IEEE, (2023)Emotional voice conversion using deep neural networks with MCC and F0 features., , and . ICIS, page 1-5. IEEE Computer Society, (2016)Emotional Voice Conversion Using Neural Networks with Different Temporal Scales of F0 based on Wavelet Transform., , and . SSW, page 140-145. ISCA, (2016)Panoptic-aware Image-to-Image Translation., , , , , , and . WACV, page 259-268. IEEE, (2023)On the Research of Pig Individual Identification and Automatic Weight Collecting System., and . ICDMA, page 806-808. IEEE Computer Society, (2011)Oil Price Forecasting Using Supervised GANs with Continuous Wavelet Transform Features., , , , , , and . ICPR, page 830-835. IEEE Computer Society, (2018)Speech Emotion Recognition using Threshold Fusion for Enhancing Audio Sensitivity., , , and . MMAsia (Workshops), page 3:1-3:5. ACM, (2023)Emotional Voice Conversion Using Dual Supervised Adversarial Networks With Continuous Wavelet Transform F0 Features., , , and . IEEE ACM Trans. Audio Speech Lang. Process., 27 (10): 1535-1548 (2019)Text-to-Speech for Low-Resource Agglutinative Language With Morphology-Aware Language Model Pre-Training., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2024)