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• Towards achieving robust universal neural vocoding
  2018 · 9 citations
• AE-Flow: AutoEncoder Normalizing Flow
  2023 · 4 citations
• Investigating self-supervised features for expressive, multilingual voice conversion
  2025 · 2 citations
• Text-free non-parallel many-to-many voice conversion using normalising flows
  2022 · 2 citations
• Non-Autoregressive TTS with Explicit Duration Modelling for Low-Resource Highly Expressive Speech
  2021 · 1 citations
• Voice Conversion for Lombard Speaking Style with Implicit and Explicit Acoustic Feature Conditioning
  2025
• Effect of data reduction on sequence-to-sequence neural TTS
  2018
• In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data
  2019
• CAMP: a Two-Stage Approach to Modelling Prosody in Context
  2020
• Low-resource expressive text-to-speech using data augmentation
  2020
• Expressive, Variable, and Controllable Duration Modelling in TTS
  2022
• GlowVC: Mel-spectrogram space disentangling model for language-independent text-free voice conversion
  2022
• Remap, warp and attend: Non-parallel many-to-many accent conversion with Normalizing Flows
  2022
• Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech
  2023
• Creating New Voices using Normalizing Flows
  2023