17 citations · 36 across the 6 of their papers we have counts for
4 papers · 1 filter
A consolidated view of loss functions for supervised deep learning-based speech enhancement
Sebastian Braun, Ivan Tashev
Deep learning-based speech enhancement for real-time applications recently made large advancements. Due to the lack of a tractable perceptual optimization target, many myths around…
Data augmentation and loss normalization for deep noise suppression
Sebastian Braun, Ivan Tashev
Speech enhancement using neural networks is recently receiving large attention in research and being integrated in commercial devices and applications. In this work, we investigate…
Weighted Speech Distortion Losses for Neural-network-based Real-time Speech Enhancement
Yangyang Xia, Sebastian Braun, Chandan K. A. Reddy +3
This paper investigates several aspects of training a RNN (recurrent neural network) that impact the objective and subjective quality of enhanced speech for real-time single-channe…
CURE Dataset: Ladder Networks for Audio Event Classification
Harishchandra Dubey, Dimitra Emmanouilidou, Ivan J. Tashev
Audio event classification is an important task for several applications such as surveillance, audio, video and multimedia retrieval etc. There are approximately 3M people with hea…