17 citations · 21 across the 3 of their papers we have counts for
3 papers
eess.AS2020
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…
eess.AS2020★ 17 cited
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…
eess.AS2019★ 4 cited
Non-intrusive speech quality assessment using neural networks
Anderson R. Avila, Hannes Gamper, Chandan Reddy +3
Estimating the perceived quality of an audio signal is critical for many multimedia and audio processing systems. Providers strive to offer optimal and reliable services in order t…