In this paper we present our initial results in articulatory-toacoustic conversion based on
tongue movement recordings using Deep Neural Networks (DNNs). Despite the fact that …

For articulatory-to-acoustic mapping using deep neural networks, typically spectral and
excitation parameters of vocoders have been used as the training targets. However …

This paper presents an investigation of speaker adaptation using a continuous vocoder for
parametric text-to-speech (TTS) synthesis. In purposes that demand low computational …

Recently it was shown that within the Silent Speech Interface (SSI) field, the prediction of F0
is possible from Ultrasound Tongue Images (UTI) as the articulatory input, using Deep …

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 …

Several IPv6 transition technologies have been designed and developed over the past few
years to accelerate the full adoption of the IPv6 address pool. To make things more …

Speech synthesis has the aim of generating humanlike speech from text. Nowadays, with
end-to-end systems, highly natural synthesized speech can be achieved if a large enough …

Traditional vocoder-based statistical parametric speech synthesis can be advantageous in
applications that require low computational complexity. Recent neural vocoders, which can …

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 …

Spoofing detection systems for automatic speaker verification have moved from only
modelling voiced frames to modelling all speech frames. Unvoiced speech has been shown …