3 papers
cs.CL2025
Streaming Non-Autoregressive Model for Accent Conversion and Pronunciation Improvement
Tuan-Nam Nguyen, Ngoc-Quan Pham, Seymanur Akti +1
We propose a first streaming accent conversion (AC) model that transforms non-native speech into a native-like accent while preserving speaker identity, prosody and improving pronu…
cs.SD2025
Towards Better Disentanglement in Non-Autoregressive Zero-Shot Expressive Voice Conversion
Seymanur Akti, Tuan Nam Nguyen, Alexander Waibel
Expressive voice conversion aims to transfer both speaker identity and expressive attributes from a target speech to a given source speech. In this work, we improve over a self-sup…
cs.SD2025
Improving Pronunciation and Accent Conversion through Knowledge Distillation And Synthetic Ground-Truth from Native TTS
Tuan Nam Nguyen, Seymanur Akti, Ngoc Quan Pham +1
Previous approaches on accent conversion (AC) mainly aimed at making non-native speech sound more native while maintaining the original content and speaker identity. However, non-n…