Abstract: We present the technologies and host components developed to power a speech-based dialogue manager with affective capabilities. The overall goal is that the system adapts its response to the ...

Abstract: Currently, the prevailing approach in voice conversion (VC) involves separating clearer linguistic information from the source audio and then reconstructing it with the identity of the ...

Deep learning has significantly advanced text-to-speech (TTS) systems. These neural network-based systems have enhanced speech synthesis quality and are increasingly vital in applications like ...

The Temporal Modulation Spectrum Toolbox is a Matlab toolbox designed for the computation of amplitude and f0 modulation spectra and spectrograms. This versatile toolbox has been developed as part of ...

When we comprehend language from speech, the phase of the neural response aligns with particular features of the speech input, resulting in a phenomenon referred to as neural tracking. In recent years ...

Nearly a century after a landmark psychology study was conducted, we revisit its findings — with your help! Surfacing By Laurel Schwulst June 28, 2023 Maybe you’ve heard of the “kiki/bouba” effect — ...

vak is a Python framework for neural network models, designed for researchers studying acoustic communication: how and why animals communicate with sound. Many people will be familiar with work in ...