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Deep learning and SVM-based emotion recognition from Chinese speech for smart affective services.

, , , , , , and . Softw. Pract. Exp., 47 (8): 1127-1138 (2017)

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An Empirical Study on Big Video Data Processing: Architectural Styles, Issues, and Challenges., , , , , and . IIKI, page 110-115. IEEE Computer Society, (2016)Deep Learning Based Emotion Recognition from Chinese Speech., , , and . ICOST, volume 9677 of Lecture Notes in Computer Science, page 49-58. Springer, (2016)Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation., , , , , and . ESEC/SIGSOFT FSE, page 1611-1622. ACM, (2023)Distributed embedded deep learning based real-time video processing., , , , , and . SMC, page 1945-1950. IEEE, (2016)Hard to Read and Understand Pythonic Idioms? DeIdiom and Explain Them in Non-Idiomatic Equivalent Code., , , , , and . ICSE, page 227:1-227:12. ACM, (2024)Emotion Recognition from Chinese Speech for Smart Affective Services Using a Combination of SVM and DBN., , , , and . Sensors, 17 (7): 1694 (2017)SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics., , , , , and . ICSE, page 1946-1957. IEEE, (2023)From Misuse to Mastery: Enhancing Code Generation with Knowledge-Driven AI Chaining., , , , and . ASE, page 976-987. IEEE, (2023)Workload Prediction for Cloud Cluster Using a Recurrent Neural Network., , , , and . IIKI, page 104-109. IEEE Computer Society, (2016)Seenomaly: vision-based linting of GUI animation effects against design-don't guidelines., , , , , , and . ICSE, page 1286-1297. ACM, (2020)