Voice Morphing that improves TTS quality using an optimal dynamic frequency warping-and-weighting transform

By Yannis Agiomyrgiannakis, Zoi Roupakia. 2016

9 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Wei Ping
2. Kainan Peng
3. Sercan Ö. Arik
4. Xu Tan
5. Jitong Chen
6. Junichi Yamagishi
7. Tie-Yan Liu
8. Tao Qin

In Signal Processing

1. Wei Ping
2. Kainan Peng
3. Yanqi Zhou
4. Sercan Ö. Arik
5. Jitong Chen
6. Junichi Yamagishi
7. Xu Tan
8. Kexin Zhao

Citations in the corpus

• Neural Voice Cloning with a Few Samples (2018, methodology): “Agiomyrgiannakis and Roupakia [2016] proposes a dynamic programming algorithm that simultaneously estimates the optimal frequency warping and weighting transform while matching source and target speakers using a matching-minimization algorithm.”