On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement

On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement

3 September 2019

Papers citing "On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement"

10 / 10 papers shown

Title
Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders Hao Shi Kazuki Shimada M. Hirano Takashi Shibuya Yuichiro Koyama Zhi-Wei Zhong Shusuke Takahashi Tatsuya Kawahara Yuki Mitsufuji DiffM 22 14 0 18 May 2023
BASEN: Time-Domain Brain-Assisted Speech Enhancement Network with Convolutional Cross Attention in Multi-talker Conditions Jie M. Zhang Qingquan Xu Qiu-shi Zhu Zhenhua Ling 19 11 0 17 May 2023
Relating EEG to continuous speech using deep neural networks: a review Corentin Puffay Bernd Accou Lies Bollens Mohammad Jalilpour-Monesi Jonas Vanthornhout Hugo Van hamme T. Francart 11 40 0 03 Feb 2023
Perceive and predict: self-supervised speech representation based loss functions for speech enhancement George Close William Ravenscroft Thomas Hain Stefan Goetze SSL 30 12 0 11 Jan 2023
Deep neural network techniques for monaural speech enhancement: state of the art analysis P. Ochieng 25 21 0 01 Dec 2022
A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement Tassadaq Hussain Wei-Chien Wang M. Gogate K. Dashtipour Yu Tsao Xugang Lu A. Ahsan Amir Hussain 13 3 0 24 Jan 2022
Towards Intelligibility-Oriented Audio-Visual Speech Enhancement Tassadaq Hussain M. Gogate K. Dashtipour Amir Hussain VLM 16 16 0 18 Nov 2021
Reconstructing Speech from Real-Time Articulatory MRI Using Neural Vocoders Yicong Yu Amin Honarmandi Shandiz L. Tóth 22 17 0 23 Apr 2021
A Review of Multi-Objective Deep Learning Speech Denoising Methods A. Azarang N. Kehtarnavaz 26 30 0 26 Mar 2020
End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction Zhong-Qiu Wang Jonathan Le Roux DeLiang Wang J. Hershey 88 122 0 26 Apr 2018