126 citations · 140 across the 13 of their papers we have counts for
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cs.SD2023
APNet: An All-Frame-Level Neural Vocoder Incorporating Direct Prediction of Amplitude and Phase Spectra
Yang Ai, Zhen-Hua Ling
This paper presents a novel neural vocoder named APNet which reconstructs speech waveforms from acoustic features by predicting amplitude and phase spectra directly. The APNet voco…
cs.SD2022
Speaker Adaption with Intuitive Prosodic Features for Statistical Parametric Speech Synthesis
Pengyu Cheng, Zhenhua Ling
In this paper, we propose a method of speaker adaption with intuitive prosodic features for statistical parametric speech synthesis. The intuitive prosodic features employed in thi…
cs.SD2021
Using multiple reference audios and style embedding constraints for speech synthesis
Cheng Gong, Longbiao Wang, Zhenhua Ling +2
The end-to-end speech synthesis model can directly take an utterance as reference audio, and generate speech from the text with prosody and speaker characteristics similar to the r…