Chen-Yu Chiang — accepted AI-conference papers

2023

EGAN: A Neural Excitation Generation Model Based on Generative Adversarial Networks with Harmonics and Noise Input

ICASSP 2023accepted

This paper presents a speech synthesis method based on source-filter modeling. The source model is powered by a neural excitation generator trained by GAN to produce an excitation signal with harmonics and noise input and conditioning spectral envelope derived from the WORLD vocoder. An overlap-add…

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2016

Structural maximum a posteriori speaker adaptation of speaking rate-dependent hierarchical prosodic model for Mandarin TTS

I-Bin Liao, Chen-Yu Chiang, Sin-Horng Chen

ICASSP 2016accepted

In this paper, a structural maximum a posterior speaker adaptation method to adjust the existing speaking rate (SR) dependent hierarchical prosodic model (SR-HPM) to a new speaker's data for realizing a new voice of any given SR is discussed. The adaptive SR-HPM is formulated based on MAP estimation…

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