3 citations · 3 across the 4 of their papers we have counts for
5 papers · 1 filter
Incremental Disentanglement for Environment-Aware Zero-Shot Text-to-Speech Synthesis
Ye-Xin Lu, Hui-Peng Du, Zheng-Yan Sheng +2
This paper proposes an Incremental Disentanglement-based Environment-Aware zero-shot text-to-speech (TTS) method, dubbed IDEA-TTS, that can synthesize speech for unseen speakers wh…
A Neural Denoising Vocoder for Clean Waveform Generation from Noisy Mel-Spectrogram based on Amplitude and Phase Predictions
Hui-Peng Du, Ye-Xin Lu, Yang Ai +1
This paper proposes a novel neural denoising vocoder that can generate clean speech waveforms from noisy mel-spectrograms. The proposed neural denoising vocoder consists of two com…
Multi-Stage Speech Bandwidth Extension with Flexible Sampling Rate Control
Ye-Xin Lu, Yang Ai, Zheng-Yan Sheng +1
The majority of existing speech bandwidth extension (BWE) methods operate under the constraint of fixed source and target sampling rates, which limits their flexibility in practica…
BiVocoder: A Bidirectional Neural Vocoder Integrating Feature Extraction and Waveform Generation
Hui-Peng Du, Ye-Xin Lu, Yang Ai +1
This paper proposes a novel bidirectional neural vocoder, named BiVocoder, capable both of feature extraction and reverse waveform generation within the short-time Fourier transfor…
Source-Filter-Based Generative Adversarial Neural Vocoder for High Fidelity Speech Synthesis
Ye-Xin Lu, Yang Ai, Zhen-Hua Ling
This paper proposes a source-filter-based generative adversarial neural vocoder named SF-GAN, which achieves high-fidelity waveform generation from input acoustic features by intro…