126 citations · 244 across the 60 of their papers we have counts for
11 papers · 1 filter
APNet2: High-quality and High-efficiency Neural Vocoder with Direct Prediction of Amplitude and Phase Spectra
Hui-Peng Du, Ye-Xin Lu, Yang Ai +1
In our previous work, we proposed a neural vocoder called APNet, which directly predicts speech amplitude and phase spectra with a 5 ms frame shift in parallel from the input acous…
Face-Driven Zero-Shot Voice Conversion with Memory-based Face-Voice Alignment
Zheng-Yan Sheng, Yang Ai, Yan-Nian Chen +1
This paper presents a novel task, zero-shot voice conversion based on face images (zero-shot FaceVC), which aims at converting the voice characteristics of an utterance from any so…
Incorporating Ultrasound Tongue Images for Audio-Visual Speech Enhancement
Rui-Chen Zheng, Yang Ai, Zhen-Hua Ling
Audio-visual speech enhancement (AV-SE) aims to enhance degraded speech along with extra visual information such as lip videos, and has been shown to be more effective than audio-o…
Long-frame-shift Neural Speech Phase Prediction with Spectral Continuity Enhancement and Interpolation Error Compensation
Yang Ai, Ye-Xin Lu, Zhen-Hua Ling
Speech phase prediction, which is a significant research focus in the field of signal processing, aims to recover speech phase spectra from amplitude-related features. However, exi…
Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement
Ye-Xin Lu, Yang Ai, Zhen-Hua Ling
Phase information has a significant impact on speech perceptual quality and intelligibility. However, existing speech enhancement methods encounter limitations in explicit phase es…
MP-SENet: A Speech Enhancement Model with Parallel Denoising of Magnitude and Phase Spectra
Ye-Xin Lu, Yang Ai, Zhen-Hua Ling
This paper proposes MP-SENet, a novel Speech Enhancement Network which directly denoises Magnitude and Phase spectra in parallel. The proposed MP-SENet adopts a codec architecture…