3 citations · 5 across the 4 of their papers we have counts for
4 papers
Adapting Diffusion-Based Music Synthesis to Speech and Singing Voice Conversion
Ben Maman, Frank Zalkow, Hans-Ulrich Berendes +3
Recent diffusion-based generative models have achieved strong results in domain-specific audio generation tasks such as speech, singing, and instrumental music synthesis. However,…
Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron
Kishor Kayyar Lakshminarayana, Frank Zalkow, Christian Dittmar +2
In recent years, several text-to-speech systems have been proposed to synthesize natural speech in zero-shot, few-shot, and low-resource scenarios. However, these methods typically…
Meta Learning Text-to-Speech Synthesis in over 7000 Languages
Florian Lux, Sarina Meyer, Lyonel Behringer +5
In this work, we take on the challenging task of building a single text-to-speech synthesis system that is capable of generating speech in over 7000 languages, many of which lack s…
Theme Transformer: Symbolic Music Generation with Theme-Conditioned Transformer
Yi-Jen Shih, Shih-Lun Wu, Frank Zalkow +2
Attention-based Transformer models have been increasingly employed for automatic music generation. To condition the generation process of such a model with a user-specified sequenc…