Kele Xu has received the Ph.D. degree from Université Pierre et Marie CURIE, Paris, France, worked with Prof. Bruce Denby and Prof. Gerard Dreyfus (IEEE Fellow). His current research interests include Multimodal Machine Learning and Software Engineering. He is also interested in the applications of machine learning for audio signal processing, speech processing. During his part-time, he is a competition-driven researcher. He has won many data mining / machine learning competitions during the past years, including ACM KDD Cup, Kaggle, Tianchi and CCF BDCI (CCF Big Data Computing Intelligence Contest). He is also a Kaggle Grandmaster.

Erschienen am 24.06.2026

General Audio Signal Processing with Deep Learning

E-Book

"Chapter1-Introduction".- "Chapter2-Traditional Representation of Audio Signals".- "Chapter3-Machine Learning Methods for Audio Signals".- "Chapter4-Semi-Supervised Learning for Audio Signal".- "Chapter5-Self-Supervised Learning for Audio Signal".- "Chapter 6: Active Learning for Audio Signal".- "Chapter 7: Incremental Learning for Audio Signal Processing".- "Chapter 8: Few-Shot Learning for Audio Signal Processing".- "Chapter 9: Data Augmentation for Audio Signal".- "Chapter 10: Audio Classification".- "Chapter 11: Sound Source Localization".- "Chapter 12: Anomalous Sound Detection".- "Chapter 13: Audio Source Separation".- "Chapter 14: Audio Generation".- "Chapter 15: Audio-language Learning".- "Chapter 16: Audio-visual Signal Analysis".- "Chapter 17: Audio super-resolution".- "Chapter 18: EEG Auditory Decoding".- "Chapter 19: Audio Denosing".- "Chapter 20: Underwater Acoustics".- "Chapter 21: Urban Sound".- "Chapter 22: Industry Sound".- "Chapter 23: Medical Sound".- "Chapter 24: Bioacoustics".- "Chapter 25: Future Perspective".

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