A Melody-Unsupervision Model for Singing Voice Synthesis
Author:
Affiliation:
1. KAIST,Graduate School of Culture Technology,Daejeon,South Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747422.pdf?arnumber=9747422
Reference28 articles.
1. Korean Singing Voice Synthesis Based on an LSTM Recurrent Neural Network
2. Singing voice synthesis based on convolutional neural networks;nakamura,2019
3. Adversarially Trained End-to-End Korean Singing Voice Synthesis System
4. Korean Singing Voice Synthesis Based on Auto-Regressive Boundary Equilibrium Gan
5. DeepSinger: Singing Voice Synthesis with Data Mined From the Web
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1. Zero-Shot Singing Voice Synthesis from Musical Score;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16
2. Phoneix: Acoustic Feature Processing Strategy for Enhanced Singing Pronunciation With Phoneme Distribution Predictor;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
3. Enhancing the Vocal Range of Single-Speaker Singing Voice Synthesis with Melody-Unsupervised Pre-Training;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
4. Neural Vocoder Feature Estimation for Dry Singing Voice Separation;2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2022-11-07
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