4 papers
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…
SAMOS: A Neural MOS Prediction Model Leveraging Semantic Representations and Acoustic Features
Yu-Fei Shi, Yang Ai, Ye-Xin Lu +2
Assessing the naturalness of speech using mean opinion score (MOS) prediction models has positive implications for the automatic evaluation of speech synthesis systems. Early MOS p…
Refining Self-Supervised Learnt Speech Representation using Brain Activations
Hengyu Li, Kangdi Mei, Zhaoci Liu +4
It was shown in literature that speech representations extracted by self-supervised pre-trained models exhibit similarities with brain activations of human for speech perception an…
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…