activity
20182026
most citedMP-SENet: A Speech Enhancement Model with Parallel Denoising of Magnitude and Phase Spectra

126 citations · 244 across the 60 of their papers we have counts for

collaborators

63 papers

eess.AS2026

Enhancing Neural Speech Coding with Semantic and Visual Cues

Yao Guo, Yang Ai, Hui-Peng Du +3

At low bitrates, neural speech codecs have limited capacity to encode all information needed for high-quality re construction, especially when relying solely on speech-derived repr…

eess.AS2026

Deep Neural Compression for RIR-Characterized Acoustic Environments with Structure-Aware Constraints

Chen-Yuan Ning, Yang Ai, Hui-Peng Du +2

Room impulse responses (RIRs) characterize the acoustic environment of a room by capturing how sound propagates and decays within an enclosed space. In applications such as immersi…

eess.AS2026

StreamWSR: Streamable and Lightweight Waveform-Domain Neural Speech Super-Resolution

Yuan Tian, Yang Ai, Hui-Peng Du +1

This paper proposes StreamWSR, a Streamable neural Waveform-domain model for speech Super-Resolution (SR). By adopting a fully causal architecture with compact frame-level waveform…

cs.SD2026

PACodec: A Low-bitrate Neural Speech Codec with Parallel Additive Vector Quantization

Fei Liu, Yang Ai, Xiao-Hang Jiang +1

This paper proposes PACodec, a novel low-bitrate neural speech codec based on parallel additive vector quantization (PAVQ). Unlike the mainstream residual vector quantization (RVQ)…

cs.SD2026

Neural Music Enhancement with Dual Time-Frequency Spectral Representations for Prediction and Discrimination

Fei Liu, Yang Ai, Zhen-Hua Ling

Non-professional music recordings shared online often suffer from background noise and reverberation, degrading perceived quality and limiting reuse. This paper proposes DSME, a mu…

cs.SD2026

Is Semantics Enough for Speech Mean Opinion Score Prediction?

Tianyu Lan, Yufei Shi, Yang Ai +3

Mean Opinion Score (MOS) is the gold standard for evaluating synthesized speech naturalness. However, current automatic MOS predictors are dominated by self-supervised learning (SS…