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 …

Feature-based vocoders, eg, STRAIGHT, offer a way to manipulate the perceived
characteristics of the speech signal in speech transformation and synthesis. For the …

Speaker de-identification approaches must accomplish three main goals: universality,
naturalness and reversibility. The main drawback of the traditional approach to speaker de …

Most of the degradation in current Statistical Parametric Speech Synthesis (SPSS) results
from the form of the vocoder. One of the main causes of degradation is the reconstruction of …

The harmonics-to-noise ratio (HNR) and other spectral noise parameters are important in
clinical objective voice assessment as they could indicate the presence of nonharmonic …

Speech-rate conversion technology, which can expand or compress speech waveforms
while preserving the pitch of the sound, is traditionally realized by signal-processing-based …

It has recently been shown that deep neural networks (DNN) can improve the quality of
statistical parametric speech synthesis (SPSS) when using a source-filter vocoder. Our own …

The parametric array loudspeaker (PAL) can realize sharp directivity utilizing the
straightness of ultrasound, but it suffers from low sound quality due to the frequency …

With the introduction of fullband speech coding the question arises what role frequency
components above 14 kHz play in speech quality assessment. On the one hand, our results …

Objectives Diplophonia is an often misinterpreted symptom of disordered voice, and needs
objectification. An audio signal processing algorithm for the detection of diplophonia is …