This paper describes a new concatenative TTS system under development at ATR. The
system, named XIMERA, is based on corpus-based technologies, as was the case for the …

Speech segmentation refers to the problem of determining the phoneme boundaries from an
acoustic recording of an utterance together with its orthographic transcription. This paper …

Several automatic phonetic alignment tools have been proposed in the literature. They
usually rely on pre-trained speaker-independent models to align new corpora. Their …

The study of speech disorders can benefit greatly from time-aligned data. However, audio-
text mismatches in disfluent speech cause rapid performance degradation for modern …

In this paper, we propose a novel approach to automatic speech segmentation for unit-
selection based text-to-speech systems. Instead of using a single automatic segmentation …

Automatic phone segmentation techniques based on model selection criteria are studied.
We investigate the phone boundary detection efficiency of entropy-and Bayesian-based …

This thesis provides a detailed acoustic description of the phonetic variation and changes
evident in the monophthongal vowel system of Coloured South African English in Cape …

This article describes experiments on speech segmentation using long short‐term memory
recurrent neural networks. The main part of the paper deals with multi‐lingual and cross …

Several automatic phonetic alignment tools have been proposed in the literature. They
generally use speaker-independent acoustic models of the language to align new corpora …

This paper introduces Emilia, a speech corpus created to build a female voice in Spanish
spoken in Buenos Aires for the Aromo text-to-speech system. Aromo is a unit selection text …