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arXiv · 2506.16580

Streaming Non-Autoregressive Model for Accent Conversion and Pronunciation Improvement

Tuan-Nam Nguyen·Ngoc-Quan Pham·Seymanur Akti·Alexander Waibel
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Abstract

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 pronunciation. Our approach enables stream processing by modifying a previous AC architecture with an Emformer encoder and an optimized inference mechanism. Additionally, we integrate a native text-to-speech (TTS) model to generate ideal ground-truth data for efficient training. Our streaming AC model achieves comparable performance to the top AC models while maintaining stable latency, making it the first AC system capable of streaming.

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Tuan-Nam Nguyen, Ngoc-Quan Pham, Seymanur Akti, Alexander Waibel. 2025-06-19. Streaming Non-Autoregressive Model for Accent Conversion and Pronunciation Improvement. https://arxiv.org/abs/2506.16580

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