One Model to Enhance Them All: Array Geometry Agnostic Multi-Channel Personalized Speech Enhancement

@article{Taherian2022OneMT,
  title={One Model to Enhance Them All: Array Geometry Agnostic Multi-Channel Personalized Speech Enhancement},
  author={Hassan Taherian and Sefik Emre Eskimez and Takuya Yoshioka and Huaming Wang and Zhuo Chen and Xuedong Huang},
  journal={ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2022},
  pages={271-275}
}
  • H. TaherianS. Eskimez Xuedong Huang
  • Published 20 October 2021
  • Computer Science
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
With the recent surge of video conferencing tools usage, providing high-quality speech signals and accurate captions have become essential to conduct day-to-day business or connect with friends and families. Single-channel personalized speech enhancement (PSE) methods show promising results compared with the unconditional speech enhancement (SE) methods in these scenarios due to their ability to remove interfering speech in addition to the environmental noise. In this work, we leverage spatial… 

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