We introduce the Merlin speech synthesis toolkit for neural network-based speech synthesis.
The system takes linguistic features as input, and employs neural networks to predict …

A review of the current state of the art of biomimetics, this book documents key biological
solutions that provide a model for innovations in engineering and science. Leading experts …

The objective of the present work is to provide a detailed review of expressive speech
synthesis (ESS). Among various approaches for ESS, the present paper focuses the …

Teaching and training are increasingly moving from real world venues to computerized
environments, with human instructors often being replaced or joined by virtual pedagogical …

This paper describes a speaker-adaptive HMM-based speech synthesis system. The new
system, called ldquoHTS-2007, rdquo employs speaker adaptation (CSMAPLR+ MAP) …

While neural text-to-speech systems perform remarkably well in high-resource scenarios,
they cannot be applied to the majority of the over 6,000 spoken languages in the world due …

This paper describes the motivation and development of speech synthesis systems for the
purposes of language revitalization. By building speech synthesis systems for three …

This paper serves as an initial announcement of the availability of a corpus of articulatory
data called mngu0. This corpus will ultimately consist of a collection of multiple sources of …

The limitation in performance of current speech synthesis and speech recognition systems
may result from the fact that these systems are not designed with respect to the human …

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 …