April 9, 2020
Environment-aware reconfigurable noise suppression
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
The paper proposes an efficient, robust, and reconfigurable technique to suppress various types of noises for any sampling rate. The theoretical analyses, subjective and objective test results show that the proposed noise suppression (NS) solution significantly enhances the speech transmission index (STI), speech intelligibility (SI), signal-to-noise ratio (SNR), and subjective listening experience.
By: Jun Yang, Joshua Bingham
Facebook AI Research
Human Computer Interaction & UX
Natural Language Processing & Speech