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Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement by Kim, Jang-Hyun; Yoo, Jaejun; Chun, Sanghyuk; Kim, Adrian; Ha, Jung-Woo is a scholarly article available to read on EtoBox.

What is Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement about?

We present a hybrid framework that leverages the trade-off between temporal and frequency precision in audio representations to improve the performance of speech enhancement task. We first show that conventional approaches using specific representations such as raw-audio and spectrograms are each effective at targeting different types of noise. By integrating both approaches, our model can learn multi-scale and multi-domain features, effectively removing noise existing on different regions on the time-frequency space in a complementary way. Experimental results show that the proposed hybrid model yields better performance and robustness than using each model individually.

Author

Kim, Jang-Hyun; Yoo, Jaejun; Chun, Sanghyuk; Kim, Adrian; Ha, Jung-Woo

Published

2018

Language

EN