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Found 5 papers, 2 papers with code
Unconstrained Dysfluency Modeling for Dysfluent Speech Transcription and Detection
Dysfluent speech modeling requires time-accurate and silence-aware transcription at both the word-level and phonetic-level.
PerMod: Perceptually Grounded Voice Modification with Latent Diffusion Models
Perceptual modification of voice is an elusive goal.
UTTS: Unsupervised TTS with Conditional Disentangled Sequential Variational Auto-encoder
We leverage recent advancements in self-supervised speech representation learning as well as speech synthesis front-end techniques for system development.
Towards Improved Zero-shot Voice Conversion with Conditional DSVAE
In our experiment on the VCTK dataset, we demonstrate that content embeddings derived from the conditional DSVAE overcome the randomness and achieve a much better phoneme classification accuracy, a stabilized vocalization and a better zero-shot VC performance compared with the competitive DSVAE baseline.
Deep Neural Convolutive Matrix Factorization for Articulatory Representation Decomposition
Most of the research on data-driven speech representation learning has focused on raw audios in an end-to-end manner, paying little attention to their internal phonological or gestural structure.
