"Can Knowledge of End-to-End Text-to-Speech Models Improve Neural ..."

Xuan Shi et al. (2023)

> Home

Details and statistics

DOI: 10.1109/ICASSP49357.2023.10095848

access: closed

type: Conference or Workshop Paper

metadata version: 2023-11-05

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icassp/ShiCWYN23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icassp/ShiCWYN23
Xuan Shi, Erica Cooper, Xin Wang, Junichi Yamagishi, Shrikanth Narayanan:
Can Knowledge of End-to-End Text-to-Speech Models Improve Neural Midi-to-Audio Synthesis Systems? ICASSP 2023: 1-5

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.