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cs.SD2026
Parallel Time-Band Mixing with Learned Observation-Adding for Robust ASR Front-Ends
Xingyu Shen, Runze Wang, Wei-Ping Zhu +1
Speech enhancement is often used as a front-end for robust ASR, yet recurrent temporal and cross-band modules introduce sequential dependencies that reduce parallel efficiency. In…
cs.SD2020
Deep Convolutional Neural Network-based Inverse Filtering Approach for Speech De-reverberation
Hanwook Chung, Vikrant Singh Tomar, Benoit Champagne
In this paper, we introduce a spectral-domain inverse filtering approach for single-channel speech de-reverberation using deep convolutional neural network (CNN). The main goal is…