22 citations · 35 across the 4 of their papers we have counts for
4 papers · 1 filter
SNAC: Multi-Scale Neural Audio Codec
Hubert Siuzdak, Florian Grötschla, Luca A. Lanzendörfer
Neural audio codecs have recently gained popularity because they can represent audio signals with high fidelity at very low bitrates, making it feasible to use language modeling ap…
Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis
Hubert Siuzdak
Recent advancements in neural vocoding are predominantly driven by Generative Adversarial Networks (GANs) operating in the time-domain. While effective, this approach neglects the…
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…
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…