most citedWavThruVec: Latent speech representation as intermediate features for neural speech synthesis

22 citations · 37 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024★ 1 cited

Characterizing Similarities and Divergences in Conversational Tones in Humans and LLMs by Sampling with People

Dun-Ming Huang, Pol Van Rijn, Ilia Sucholutsky +2

Conversational tones -- the manners and attitudes in which speakers communicate -- are essential to effective communication. Amidst the increasing popularization of Large Language…

q-bio.NC2024

A Rational Analysis of the Speech-to-Song Illusion

Raja Marjieh, Pol van Rijn, Ilia Sucholutsky +3

The speech-to-song illusion is a robust psychological phenomenon whereby a spoken sentence sounds increasingly more musical as it is repeated. Despite decades of research, a comple…

cs.HC2024★ 12 cited

Giving Robots a Voice: Human-in-the-Loop Voice Creation and open-ended Labeling

Pol van Rijn, Silvan Mertes, Kathrin Janowski +3

Speech is a natural interface for humans to interact with robots. Yet, aligning a robot's voice to its appearance is challenging due to the rich vocabulary of both modalities. Prev…

cs.SD2022★ 22 cited

WavThruVec: Latent speech representation as intermediate features for neural speech synthesis

Hubert Siuzdak, Piotr Dura, Pol van Rijn +1

Recent advances in neural text-to-speech research have been dominated by two-stage pipelines utilizing low-level intermediate speech representation such as mel-spectrograms. Howeve…

cs.SD2022★ 2 cited

VoiceMe: Personalized voice generation in TTS

Pol van Rijn, Silvan Mertes, Dominik Schiller +5

Novel text-to-speech systems can generate entirely new voices that were not seen during training. However, it remains a difficult task to efficiently create personalized voices fro…