Speech processing algorithms are often developed demonstrating improvements over the
state-of-the-art, but sometimes at the cost of high complexity. This makes algorithm …

State-of-the-art singing voice separation is based on deep learning making use of CNN
structures with skip connections (like U-Net model, Wave-U-Net model, or MSDENSELSTM) …

The use of the mel spectrogram as a signal parameterization for voice generation is quite
recent and linked to the development of neural vocoders. These are deep neural networks …

In current methods for voice transformation and speech synthesis, the vocal tract filter is
usually assumed to be excited by a flat amplitude spectrum. In this article, we present a …

The amplitude modulations of musical instrument sounds and speech are important
perceptual cues. Accurate estimation of the amplitude, or equivalently energy, envelope of a …

In this paper, we present an extension of a novel continuous residual-based vocoder for
statistical parametric speech synthesis. Previous work has shown the advantages of adding …

This thesis aimed at conducting research on the synthesis and expressive transformations of
the singing voice, towards the development of a high-quality synthesizer that can generate a …

This paper proposes a new method for shape invariant real-time modification of speech
signals. The method can be un-derstood as a frequency domain SOLA algorithm that is us …

This study addresses the problem of inverting a voice production model to retrieve, for a
given recording, a representation of the sound source which is generated at the glottis level …

In this paper, we present an extension of a novel continuous residual-based vocoder for
statistical parametric speech synthesis by addressing two objectives. First, because the …