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. 2211.13868
  4. Cited By
Can Knowledge of End-to-End Text-to-Speech Models Improve Neural
  MIDI-to-Audio Synthesis Systems?

Can Knowledge of End-to-End Text-to-Speech Models Improve Neural MIDI-to-Audio Synthesis Systems?

25 November 2022
Xuan Shi
Erica Cooper
Xin Wang
Junichi Yamagishi
Shrikanth Narayanan
ArXivPDFHTML

Papers citing "Can Knowledge of End-to-End Text-to-Speech Models Improve Neural MIDI-to-Audio Synthesis Systems?"

3 / 3 papers shown
Title
DDSP-based Neural Waveform Synthesis of Polyphonic Guitar Performance
  from String-wise MIDI Input
DDSP-based Neural Waveform Synthesis of Polyphonic Guitar Performance from String-wise MIDI Input
Nicolas Jonason
Xin Eric Wang
Erica Cooper
Lauri Juvela
Bob L. T. Sturm
Junichi Yamagishi
28
1
0
14 Sep 2023
Text-to-Speech Synthesis Techniques for MIDI-to-Audio Synthesis
Text-to-Speech Synthesis Techniques for MIDI-to-Audio Synthesis
Erica Cooper
Xin Wang
Junichi Yamagishi
31
6
0
25 Apr 2021
DDSP: Differentiable Digital Signal Processing
DDSP: Differentiable Digital Signal Processing
Jesse Engel
Lamtharn Hantrakul
Chenjie Gu
Adam Roberts
DiffM
83
372
0
14 Jan 2020
1