端到端声源分离研究进展

主讲人:Roy__ | 博士生

  • 开课时间

    2020.07.01 13:00

  • 课程时长

    120分钟

  • 学习人数

    3706学习

  • 立即学习

立即学习

端到端声源分离研究进展

Recent progress in deep learning methods for the task of source separation have significantly advanced the state-of-the-art. Among all the recent proposals, end-to-end systems that take waveform as input and directly generate waveforms have shown their advantage on both the system performance and the flexibility. In this talk, I will briefly go through some of the recent advances in the problem of end-to-end neural source separation. I will start with the general problem definition of source separation, then introduce several single-channel and multi-channel approaches, and conclude with the challenges and future works in this area.

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