Concatenative synthesis and statistical synthesis are the two main approaches to text-to-
speech (TTS) synthesis. Concatenative TTS (CTTS) stores natural speech features …

The harmonic representation of speech signals has found many applications in speech
processing. This paper presents a novel statistical approach to model the behavior of …

In the past few years state-of-the-art text-dependent speaker verification technology has
improved significantly in terms of the ability to accept target speakers and reject imposters …

In this chapter, we present the main trends in corpus-based speech synthesis, assuming a
stream of phonemes and prosodic target as input. From the early diphone-based speech …

We have examined various aspects of how to produce synthetic speech. There are
numerous applications for such synthetic speech, mostly when starting from a textual input …

This paper describes an efficient sinusoidal modeling framework for high quality wide band
(WB) speech synthesis and modification. This technique may serve as a basis for speech …

In this paper, we have explored the framework of compressed sensing (CS) and sparse
representation (SR) to reduce the footprint of unit selection based speech synthesis (USS) …

A sinusoidal representation of speech is an alternative to the source-filter model. It is widely
used in speech coding and unit-selection TTS, but is less common in statistical TTS …

Reliable, automatic and objective detector of pathological voice disorders from speech
signals is a long sought-for tool, by voice clinicians as well as by general practitioners. Such …

The quality of speech produced by modern TTS systems utilizing the unit selection approach
is very high. However, the system demands are enormous. The storage requirements are …