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. 1801.07910
  4. Cited By
Waveform Modeling and Generation Using Hierarchical Recurrent Neural
  Networks for Speech Bandwidth Extension

Waveform Modeling and Generation Using Hierarchical Recurrent Neural Networks for Speech Bandwidth Extension

24 January 2018
Zhenhua Ling
Yang Ai
Yu Gu
Lirong Dai
ArXivPDFHTML

Papers citing "Waveform Modeling and Generation Using Hierarchical Recurrent Neural Networks for Speech Bandwidth Extension"

5 / 5 papers shown
Title
Combined Generative and Predictive Modeling for Speech Super-resolution
Combined Generative and Predictive Modeling for Speech Super-resolution
Heming Wang
Eric W. Healy
DeLiang Wang
DiffM
33
0
0
25 Jan 2024
Stochastic Restoration of Heavily Compressed Musical Audio using
  Generative Adversarial Networks
Stochastic Restoration of Heavily Compressed Musical Audio using Generative Adversarial Networks
Stefan Lattner
J. Nistal
30
11
0
04 Jul 2022
Large-Scale Mixed-Bandwidth Deep Neural Network Acoustic Modeling for
  Automatic Speech Recognition
Large-Scale Mixed-Bandwidth Deep Neural Network Acoustic Modeling for Automatic Speech Recognition
Khoi-Nguyen C. Mac
Xiaodong Cui
Wei Zhang
M. Picheny
8
6
0
10 Jul 2019
Speech bandwidth extension with WaveNet
Speech bandwidth extension with WaveNet
Archit Gupta
Brendan Shillingford
Yannis Assael
Thomas C. Walters
21
28
0
05 Jul 2019
A Neural Vocoder with Hierarchical Generation of Amplitude and Phase
  Spectra for Statistical Parametric Speech Synthesis
A Neural Vocoder with Hierarchical Generation of Amplitude and Phase Spectra for Statistical Parametric Speech Synthesis
Yang Ai
Zhenhua Ling
21
29
0
23 Jun 2019
1