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20152026
most citedAudio Deepfake Detection Based on a Combination of F0 Information and Real Plus Imaginary Spectrogram Features

40 citations · 191 across the 46 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.SD2025

BridgeVoC: Revitalizing Neural Vocoder from a Restoration Perspective

Andong Li, Tong Lei, Rilin Chen +5

This paper revisits the neural vocoder task through the lens of audio restoration and propose a novel diffusion vocoder called BridgeVoC. Specifically, by rank analysis, we compare…

cs.SD2025

LTA-L2S: Lexical Tone-Aware Lip-to-Speech Synthesis for Mandarin with Cross-Lingual Transfer Learning

Kang Yang, Yifan Liang, Fangkun Liu +2

Lip-to-speech (L2S) synthesis for Mandarin is a significant challenge, hindered by complex viseme-to-phoneme mappings and the critical role of lexical tones in intelligibility. To…

eess.AS2025

Rethinking the joint estimation of magnitude and phase for time-frequency domain neural vocoders

Lingling Dai, Andong Li, Tong Lei +3

Time-frequency (T-F) domain-based neural vocoders have shown promising results in synthesizing high-fidelity audio. Nevertheless, it remains unclear on the mechanism of effectively…

cs.SD2025

Learning Neural Vocoder from Range-Null Space Decomposition

Andong Li, Tong Lei, Zhihang Sun +4

Despite the rapid development of neural vocoders in recent years, they usually suffer from some intrinsic challenges like opaque modeling, and parameter-performance trade-off. In t…

cs.SD2025

NaturalL2S: End-to-End High-quality Multispeaker Lip-to-Speech Synthesis with Differential Digital Signal Processing

Yifan Liang, Fangkun Liu, Andong Li +2

Recent advancements in visual speech recognition (VSR) have promoted progress in lip-to-speech synthesis, where pre-trained VSR models enhance the intelligibility of synthesized sp…

cs.SD2025

Neural Vocoders as Speech Enhancers

Andong Li, Zhihang Sun, Fengyuan Hao +2

Speech enhancement (SE) and neural vocoding are traditionally viewed as separate tasks. In this work, we observe them under a common thread: the rank behavior of these processes. T…