ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.04469
  4. Cited By
A non-causal FFTNet architecture for speech enhancement

A non-causal FFTNet architecture for speech enhancement

8 June 2020
P. V. M. Shifas
Nagaraj Adiga
Vassilis Tsiaras
Y. Stylianou
    AI4TS
ArXivPDFHTML

Papers citing "A non-causal FFTNet architecture for speech enhancement"

3 / 3 papers shown
Title
SVSNet: An End-to-end Speaker Voice Similarity Assessment Model
SVSNet: An End-to-end Speaker Voice Similarity Assessment Model
Cheng-Hung Hu
Yu-Huai Peng
Junichi Yamagishi
Yu Tsao
Hsin-Min Wang
29
5
0
20 Jul 2021
A fully recurrent feature extraction for single channel speech
  enhancement
A fully recurrent feature extraction for single channel speech enhancement
M. Shifas
Santelli Claudio
Vassilis Tsiaras
Y. Stylianou
8
2
0
09 Jun 2020
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
272
2,552
0
25 Jan 2016
1