126 citations · 134 across the 20 of their papers we have counts for
8 papers · 1 filter
Universal Discrete-Domain Speech Enhancement
Fei Liu, Yang Ai, Ye-Xin Lu +3
In real-world scenarios, speech signals are inevitably corrupted by various types of interference, making speech enhancement (SE) a critical task for robust speech processing. Howe…
Pitch-and-Spectrum-Aware Singing Quality Assessment with Bias Correction and Model Fusion
Yu-Fei Shi, Yang Ai, Ye-Xin Lu +2
We participated in track 2 of the VoiceMOS Challenge 2024, which aimed to predict the mean opinion score (MOS) of singing samples. Our submission secured the first place among all…
ESTVocoder: An Excitation-Spectral-Transformed Neural Vocoder Conditioned on Mel Spectrogram
Xiao-Hang Jiang, Hui-Peng Du, Yang Ai +2
This paper proposes ESTVocoder, a novel excitation-spectral-transformed neural vocoder within the framework of source-filter theory. The ESTVocoder transforms the amplitude and pha…
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…
MDCTCodec: A Lightweight MDCT-based Neural Audio Codec towards High Sampling Rate and Low Bitrate Scenarios
Xiao-Hang Jiang, Yang Ai, Rui-Chen Zheng +3
In this paper, we propose MDCTCodec, an efficient lightweight end-to-end neural audio codec based on the modified discrete cosine transform (MDCT). The encoder takes the MDCT spect…
Stage-Wise and Prior-Aware Neural Speech Phase Prediction
Fei Liu, Yang Ai, Hui-Peng Du +3
This paper proposes a novel Stage-wise and Prior-aware Neural Speech Phase Prediction (SP-NSPP) model, which predicts the phase spectrum from input amplitude spectrum by two-stage…