Enhancing End-to-End Multi-channel Speech Separation via Spatial Feature Learning

9 Mar 2020 Rongzhi Gu Shi-Xiong Zhang Lian-Wu Chen Yong Xu Meng Yu Dan Su Yuexian Zou Dong Yu

Hand-crafted spatial features (e.g., inter-channel phase difference, IPD) play a fundamental role in recent deep learning based multi-channel speech separation (MCSS) methods. However, these manually designed spatial features are hard to incorporate into the end-to-end optimized MCSS framework... (read more)

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