Author:Govender, Avashna; De Wet, Febe; Tapamo, Jules-RaymondDate:Sep 2015Hidden Markov Model (HMM)-based synthesis in combination with speaker adaptation has proven to be an approach that is well-suited for child speech synthesis. This paper describes the development and evaluation of different HMM-based child ...Read more
Author:Louw, Johannes ADate:Dec 2019Recent work in sequence-to-sequence neural networks with attention mechanisms, such as the Tacotron 2 and DCTTS architectures, have brought on substantial naturalness improvements in synthesised speech. These architectures require at least ...Read more
Author:Govender, Avashna; De Wet, FebeDate:Dec 2016Building synthetic child voices is considered a difficult task due to the challenges associated with data collection. As a result, speaker adaptation in conjunction with Hidden Markov Model (HMM)-based synthesis has become prevalent in this ...Read more
Author:Louw, Johannes ADate:Dec 2020Sequence-to-sequence end-to-end models for text-to-speech have shown significant gains in naturalness of the produced synthetic speech. These models have an encoder-decoder architecture, without an explicit duration model, but rather a learned ...Read more