Zero-Shot Singing Voice Synthesis from Musical Score

JY Wang, HY Lee, JSR Jang… - 2023 IEEE Automatic …, 2023 - ieeexplore.ieee.org
Zero-shot singing voice synthesis (SVS), the task to synthesize the singing voice of an
arbitrary target singer, has gained increasing attentions in the past few years. Several …

HMM-based expressive singing voice synthesis with singing style control and robust pitch modeling

T Nose, M Kanemoto, T Koriyama… - Computer Speech & …, 2015 - Elsevier
This paper proposes a singing style control technique based on multiple regression hidden
semi-Markov models (MRHSMMs) for changing singing styles and their intensities …

Factored maximum penalized likelihood kernel regression for HMM-based style-adaptive speech synthesis

JS Sung, DH Hong, NS Kim - IEEE Journal of Selected Topics …, 2014 - ieeexplore.ieee.org
Speech synthesized from the same text should sound differently depending on the speaking
style. Current speech synthesis techniques based on the hidden Markov model (HMM) …

Factored MLLR adaptation algorithm for HMM-based expressive TTS

JS Sung, DH Hong, HW Koo, NS Kim - Proc. Interspeech 2012, 2012 - isca-archive.org
One of the most popular approaches to parameter adaptation in hidden Markov model
(HMM) based systems is the maximum likelihood linear regression (MLLR) technique. In our …

[PDF][PDF] Factored maximum likelihood kernelized regression for HMM-based singing voice synthesis.

JS Sung, DH Hong, HW Koo, NS Kim - Interspeech, 2013 - isca-archive.org
In our previous work, we proposed factored maximum likelihood linear regression (FMLLR)
adaptation where each MLLR parameter is defined as a function of a control vector. In this …

[PDF][PDF] First Report on User Requirements Identification and Analysis

F Pozzi - 2013 - Citeseer
The document analyzes and describes the 'intangible'artistic expressions chosen by the
project as use cases and defines the basic requirements of the i-Treasures system that will …

Style-Adaptive Speech Synthesis Utilizing Supplementary Information

JS Sung - 2013 - s-space.snu.ac.kr
Parameter adaptation is necessitated to reduce the mismatch between the training and test
conditions caused by speaker variability, channel difference and environmental effects …