Exploiting Syntactic Features in a Parsed Tree to Improve End-to-End TTS

Exploiting Syntactic Features in a Parsed Tree to Improve End-to-End TTS

9 April 2019

Lei Xie

Papers citing "Exploiting Syntactic Features in a Parsed Tree to Improve End-to-End TTS"

10 / 10 papers shown

Title
Using Deepfake Technologies for Word Emphasis Detection Eran Kaufman Lee-Ad Gottlieb 35 0 0 12 May 2023
ParaTTS: Learning Linguistic and Prosodic Cross-sentence Information in Paragraph-based TTS Liumeng Xue Frank Soong Shaofei Zhang Linfu Xie 29 23 0 14 Sep 2022
A Study of Modeling Rising Intonation in Cantonese Neural Speech Synthesis Qibing Bai Tom Ko Yu Zhang 27 4 0 03 Aug 2022
A Survey on Neural Speech Synthesis Xu Tan Tao Qin Frank Soong Tie-Yan Liu AI4TS 18 353 0 29 Jun 2021
Review of end-to-end speech synthesis technology based on deep learning Zhaoxi Mu Xinyu Yang Yizhuo Dong AuLLM ALM 26 24 0 20 Apr 2021
Enhancing Word-Level Semantic Representation via Dependency Structure for Expressive Text-to-Speech Synthesis Yixuan Zhou Changhe Song Jingbei Li Zhiyong Wu Yanyao Bian Dan Su Helen Meng 41 6 0 14 Apr 2021
GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis Aolan Sun Jianzong Wang Ning Cheng Huayi Peng Zhen Zeng Lingwei Kong Jing Xiao 16 9 0 03 Dec 2020
Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech S. Karlapati Ammar Abbas Zack Hodari Alexis Moinet Arnaud Joly Panagiota Karanasou Thomas Drugman 25 19 0 04 Nov 2020
Exploiting Deep Sentential Context for Expressive End-to-End Speech Synthesis Fengyu Yang Shan Yang Qinghua Wu Yujun Wang Lei Xie 39 5 0 03 Aug 2020
Dynamic Prosody Generation for Speech Synthesis using Linguistics-Driven Acoustic Embedding Selection Shubhi Tyagi M. Nicolis Jonas Rohnke Thomas Drugman Jaime Lorenzo-Trueba 32 32 0 02 Dec 2019