Research on deep learning-powered voice conversion (VC) in speech-to-speech scenarios
are gaining increasing popularity. Although many of the works in the field of voice …

Research on deep learning-powered voice conversion (VC) in speech-to-speech scenarios
is getting increasingly popular. Although many of the works in the field of voice conversion …

Electromyographic (EMG) signals of articulatory muscles reflect the speech production
process even if the user is speaking silently ie moving the articulators without producing …

Primary goal of an emotional voice conversion (EVC) system is to convert the emotion of a
given speech signal from one style to another style without modifying the linguistic content of …

Advances in speech technology now allow unprecedented access to personally identifiable
information through speech. To protect such information, the differential privacy field has …

Deep neural networks have demonstrated their capacity in extracting features from speech
inputs. However, these features may include non-linguistic speech factors such as timbre …

Voice conversion systems have made significant advancements in terms of naturalness and
similarity in common voice conversion tasks. However, their performance in more complex …

It remains a significant challenge how to quantitatively control the expressiveness of speech
emotion in speech generation. In this work, we propose an approach for quantitative …

Abstract Emotional Voice Conversion (EVC) for under-resourced languages like Arabic
faces challenges due to limited emotional speech data. This study explored strategies to …

In addition to conveying the linguistic content from source speech to converted speech,
maintaining the speaking style of source speech also plays an important role in the voice …