ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2111.07549
  4. Cited By
Improving Prosody for Unseen Texts in Speech Synthesis by Utilizing
  Linguistic Information and Noisy Data

Improving Prosody for Unseen Texts in Speech Synthesis by Utilizing Linguistic Information and Noisy Data

15 November 2021
Zhu Li
Yuqing Zhang
Mengxi Nie
Ming Yan
Mengnan He
Ruixiong Zhang
Caixia Gong
ArXiv (abs)PDFHTML

Papers citing "Improving Prosody for Unseen Texts in Speech Synthesis by Utilizing Linguistic Information and Noisy Data"

2 / 2 papers shown
Title
Llama-VITS: Enhancing TTS Synthesis with Semantic Awareness
Llama-VITS: Enhancing TTS Synthesis with Semantic AwarenessInternational Conference on Language Resources and Evaluation (LREC), 2024
Xincan Feng
A. Yoshimoto
205
4
0
10 Apr 2024
EE-TTS: Emphatic Expressive TTS with Linguistic Information
EE-TTS: Emphatic Expressive TTS with Linguistic InformationInterspeech (Interspeech), 2023
Yifan Zhong
Chen Zhang
Xule Liu
Chenxi Sun
Weishan Deng
Haifeng Hu
Zhongqian Sun
98
6
0
20 May 2023
1