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Fengyuan Hao

4 accepted papers

2025

Audiogram-Informed End-to-End Noise Reduction and Wide Dynamic Range Compression for Hearing Aids

ICASSP 2025accepted

Wide dynamic range compression (WDRC) provides level-dependent amplification, intended to make the output of a hearing aid fall between the hearing threshold and the highest comfortable level of the listener. Hearing aids often combine noise reduction with WDRC, applied sequentially. Unfortunately,…

Cited by 0SourceScholar
2025

DSINet: Towards Real-Time Target Speaker Extraction with Dynamic Speaker Information Fusion

ICASSP 2025accepted

Target speaker extraction (TSE) aims to directly extract the desired speech given enrollment utterances of the target speaker. Despite significant progress in recent years, most existing methods remain non-causal and computationally intensive. This paper introduces DSINet, a real-time time-frequency…

Cited by 0SourceScholar
2025

DeepPEM-AFC: An Improved Prediction-Error-Method-based Adaptive Feedback Cancellation with Deep Learning for Hearing Aids

ICASSP 2025accepted

Hearing assistive devices aim to compensate hearing loss for hearing-impaired listeners, and their maximum stable gain (MSG) is constrained because of the existence of the acoustic feedback between the receiver and microphone, resulting in their inefficiency for individuals with severe or profound h…

Cited by 0SourceScholar
2025

DeepPreNet: A Deep Learning Pre-Processing Method for Speech Distortion Correction in Parametric Array Loudspeaker

ICASSP 2025accepted

The parametric array loudspeaker produces highly directional sound via a nonlinear process in air, which also introduces inherent baseband distortions. However, conventional recursive modulators employed to compensate for nonlinearity demand substantially increased bandwidth and are not optimized fo…

Cited by 0SourceScholar