The Blizzard Challenge offers a unique insight into progress in text-to-speech synthesis over
the last decade. By using a very large listening test to compare the performance of a wide …

This paper describes Apple's hybrid unit selection speech synthesis system, which provides
the voices for Siri with the requirement of naturalness, personality and expressivity. It has …

The objective of this paper is to present a detailed review of modelling various acoustic
features employed in statistical parametric speech synthesis (SPSS). As reported in the …

This paper presents a system that transforms the speech signals of speakers with physical
speech disabilities into a more intelligible form that can be more easily understood by …

A neural network model that significant improves unitselection-based Text-To-Speech
synthesis is presented. The model employs a sequence-to-sequence LSTM-based …

The generated speech of hidden Markov model (HMM)-based statistical parametric speech
synthesis still sounds “muffled.” One cause of this degradation in speech quality may be the …

This paper introduces the USTC speech synthesis system for Blizzard Challenge 2018. The
task is to build a speech synthesis system on a 6.5-hour children's audio book corpus. The …

This paper introduces the IFLYTEK speech synthesis system for Blizzard Challenge 2017.
The task is to build a speech synthesis system on a 6.5-hour children's audio book corpus …

This paper introduces the details of the speech synthesis system developed by the USTC
team for Blizzard Challenge 2017. A 6.5-hour corpus of highly expressive children's …

This paper describes a text-to-speech (TTS) system developed at the Nagoya Institute of
Technology (NITech) for the Blizzard Challenge 2017. In the challenge, about seven hours …