Speech technology is not appropriately explored even though modern advances in speech
technology—especially those driven by deep learning (DL) technology—offer …

Speech synthesis, also known as text-to-speech (TTS), has attracted increasingly more
attention. Recent advances on speech synthesis are overwhelmingly contributed by deep …

A vocoder-based speech synthesis system, named WORLD, was developed in an effort to
improve the sound quality of real-time applications using speech. Speech analysis …

In the field of artificial intelligence, human–computer interaction (HCI) technology and its
related intelligent robot technologies are essential and interesting contents of research …

An algorithm is proposed for estimating the band aperiodicity of speech signals, where
“aperiodicity” is defined as the power ratio between the speech signal and the aperiodic …

A fundamental frequency (F0) estimator named Harvest is described. The unique points of
Harvest are that it can obtain a reliable F0 contour and reduce the error that the voiced …

Concealing speaker identity in speech signals refers to the task of speaker de-identification,
which helps protect the privacy of a speaker. Although, both linguistic and paralinguistic …

This paper presents a system that transforms the speech signals of speakers with physical
speech disabilities into a more intelligible form that can be more easily understood by …

This study investigated the ability of adults with Asperger syndrome to recognize emotional
categories of facial expressions and emotional prosodies with graded emotional intensities …

Recently, neural vocoders have been widely used in speech synthesis tasks, including text-
to-speech and voice conversion. However, when encountering data distribution mismatch …