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 gives a general overview of hidden Markov model (HMM)-based speech
synthesis, which has recently been demonstrated to be very effective in synthesizing …

This paper describes an hidden Markov model (HMM)-based speech synthesizer that
utilizes glottal inverse filtering for generating natural sounding synthetic speech. In the …

The dynamic use of voice qualities in spoken language can reveal useful information on a
speakers attitude, mood and affective states. This information may be very desirable for a …

There are many aspects of speech that we might want to control when creating text-to-
speech (TTS) systems. We present a general method that enables control of arbitrary …

In glottal source analysis, the phase minimization criterion has already been proposed to
detect excitation instants. As shown in this paper, this criterion can also be used to estimate …

A major factor which causes a deterioration in speech quality in HMM-based speech
synthesis is the use of a simple delta pulse signal to generate the excitation of voiced …

This papers studies the synthesis of speech over a wide vocal effort continuum and its
perception in the presence of noise. Three types of speech are recorded and studied along …

There are a lot of tools and resources available for processing Finnish. In this paper, we
survey recent papers focusing on Finnish NLP related to many different subcategories of …

Achieving high quality and naturalness in statistical parametric synthesis of female voices
remains to be difficult despite recent advances in the study area. Vocoding is one such key …