111 citations · 462 across the 65 of their papers we have counts for
6 papers · 2 filters
Voice Conversion for Stuttered Speech, Instruments, Unseen Languages and Textually Described Voices
Matthew Baas, Herman Kamper
Voice conversion aims to convert source speech into a target voice using recordings of the target speaker as a reference. Newer models are producing increasingly realistic output.…
Rhythm Modeling for Voice Conversion
Benjamin van Niekerk, Marc-André Carbonneau, Herman Kamper
Voice conversion aims to transform source speech into a different target voice. However, typical voice conversion systems do not account for rhythm, which is an important factor in…
Leveraging multilingual transfer for unsupervised semantic acoustic word embeddings
Christiaan Jacobs, Herman Kamper
Acoustic word embeddings (AWEs) are fixed-dimensional vector representations of speech segments that encode phonetic content so that different realisations of the same word have si…
Disentanglement in a GAN for Unconditional Speech Synthesis
Matthew Baas, Herman Kamper
Can we develop a model that can synthesize realistic speech directly from a latent space, without explicit conditioning? Despite several efforts over the last decade, previous adve…
Visually grounded few-shot word learning in low-resource settings
Leanne Nortje, Dan Oneata, Herman Kamper
We propose a visually grounded speech model that learns new words and their visual depictions from just a few word-image example pairs. Given a set of test images and a spoken quer…
Voice Conversion With Just Nearest Neighbors
Matthew Baas, Benjamin van Niekerk, Herman Kamper
Any-to-any voice conversion aims to transform source speech into a target voice with just a few examples of the target speaker as a reference. Recent methods produce convincing con…