A new fuzzy unit selection cost function optimized by relaxed gradient descent algorithm

作者：

Highlights：

• A new, fully interpretable fuzzy unit selection cost function.

• A new objective measure for optimizing a fuzzy unit selection cost function.

• A new fully automatic RGD-based unit selection optimization process.

摘要

•A new, fully interpretable fuzzy unit selection cost function.•A new objective measure for optimizing a fuzzy unit selection cost function.•A new fully automatic RGD-based unit selection optimization process.

论文关键词：Fuzzy-function,Unit selection cost function,Unit selection algorithm,Relaxed gradient descent algorithm,Corpus-based text-to-speech synthesis,Best path search

论文评审过程：Received 16 December 2018, Revised 12 February 2020, Accepted 9 May 2020, Available online 15 May 2020, Version of Record 5 June 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113552