65 citations · 77 across the 26 of their papers we have counts for
14 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…
Neural Speech Separation with Parallel Amplitude and Phase Spectrum Estimation
Fei Liu, Yang Ai, Zhen-Hua Ling
This paper proposes APSS, a novel neural speech separation model with parallel amplitude and phase spectrum estimation. Unlike most existing speech separation methods, the APSS dis…
Universal Preference-Score-based Pairwise Speech Quality Assessment
Yu-Fei Shi, Yang Ai, Zhen-Hua Ling
To compare the performance of two speech generation systems, one of the most effective approaches is estimating the preference score between their generated speech. This paper prop…
A Streamable Neural Audio Codec with Residual Scalar-Vector Quantization for Real-Time Communication
Xiao-Hang Jiang, Yang Ai, Rui-Chen Zheng +1
This paper proposes StreamCodec, a streamable neural audio codec designed for real-time communication. StreamCodec adopts a fully causal, symmetric encoder-decoder structure and op…
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…