This review gives a general overview of techniques used in statistical parametric speech
synthesis. One instance of these techniques, called hidden Markov model (HMM)-based …

This paper introduces new open speech datasets for three of the languages of Spain:
Basque, Catalan and Galician. Catalan is furthermore the official language of the Principality …

Speech enhancement deep learning systems usually require large amounts of training data
to operate in broad conditions or real applications. This makes the adaptability of those …

Until now, speech synthesis has mainly involved reading-style speech. Today, however, text-
to-speech systems must provide a variety of styles because users expect these interfaces to …

A set of tools to analyze inconsistencies observed in a Cat_ToBI labeling experiment are
presented. We formalize and use the metrics that are commonly used in inconsistency tests …

Corpus design for speech synthesis is a well-researched topic in languages such as English
compared to Modern Standard Arabic, and there is a tendency to focus on methods to …

This paper describes the current state of the work that is being carried out in the framework
of the ZureTTS project to give a personalized voice to people who cannot speak in their own …

We present Catotron, a neural network-based open-source speech synthesis system in
Catalan. Catotron consists of a sequence-to-sequence model trained with two small …

The resource is a speech corpus, with digital audio files, text transcripts, and files containing
time stamps of the phoneme boundaries. There are 1813. wav files containing spoken …

The primary goal of the ZureTTS project was the design and development of a web interface
that allows nonexpert users to get their own personalized synthetic voice with minimal effort …