most citedImproving Reverberant Speech Separation with Multi-stage Training and Curriculum Learning

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

eess.AS2021★ 1 cited

Improving Reverberant Speech Separation with Multi-stage Training and Curriculum Learning

Rohith Aralikatti, Anton Ratnarajah, Zhenyu Tang +1

We present a novel approach that improves the performance of reverberant speech separation. Our approach is based on an accurate geometric acoustic simulator (GAS) which generates…

cs.SD2020

IR-GAN: Room Impulse Response Generator for Far-field Speech Recognition

Anton Ratnarajah, Zhenyu Tang, Dinesh Manocha

We present a Generative Adversarial Network (GAN) based room impulse response generator (IR-GAN) for generating realistic synthetic room impulse responses (RIRs). IR-GAN extracts a…