Speech datasets are crucial for training Speech Language Technologies (SLT); however,
the lack of diversity of the underlying training data can lead to serious limitations in building …

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 …

We present here the largest publicly available corpus of Romanian. Its written component
contains 1,257,752,812 tokens, distributed, in an unbalanced way, in several language …

Although many efforts have been made in the last decade to enhance the speech and
language resources for Romanian, this language is still considered under-resourced. While …

This paper presents RELATE (http://relate. racai. ro), a high-performance natural language
platform designed for Romanian language. It is meant both for demonstration of available …

Abstract Simple4All Tundra (version 1.0) is the first release of a standardised multilingual
corpus designed for text-to-speech research with imperfect or found data. The corpus …

This thesis introduces a general method for incorporating the distributional analysis of
textual and linguistic objects into text-to-speech (TTS) conversion systems. Conventional …

This paper presents an implementation of an ASR system for the Romanian language that
uses a multi-layer neural network architecture to transcribe the input speech, augmented …

This paper introduces one of the largest Romanian speech datasets freely available for both
academic and commercial use. The dataset comprises speech data recorded over the last …

Several researchers have contemplated deep learning-based post-filters to increase the
quality of statistical parametric speech synthesis, which perform a mapping of the synthetic …