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Mingsian R. Bai

4 accepted papers

2023

Model-Matching Principle Applied to the Design of an Array-Based All-Neural Binaural Rendering System for Audio Telepresence

ICASSP 2023accepted

Telepresence aims to create an immersive but virtual experience of the audio and visual scene at the far-end for users at the near-end. In this contribution, we propose an array-based binaural rendering system that converts the array microphone signals into the head-related transfer function (HRTF)-…

Cited by 0SourceScholar
2022

Learning-Based Personal Speech Enhancement for Teleconferencing by Exploiting Spatial-Spectral Features

ICASSP 2022accepted

Teleconferencing is becoming essential during the COVID-19 pandemic. However, in real-world applications, speech quality can deteriorate due to, for example, background interference, noise, or reverberation. To solve this problem, target speech extraction from the mixture signals can be performed wi…

Cited by 0SourceScholar
2021

Sound Event Detection by Consistency Training and Pseudo-Labeling With Feature-Pyramid Convolutional Recurrent Neural Networks

ICASSP 2021accepted

Due to the high cost of large-scale strong labeling, sound event detection (SED) using only weakly-labeled and unlabeled data has drawn increasing attention in recent years. To exploit large amount of unlabeled in-domain data efficiently, we applied three semi-supervised learning strategies: interpo…

Cited by 0SourceScholar
2019

A Novel Approach for Feedforward Control of Noise in Ducts Using Simplified Multichannel Inverse Filters

ICASSP 2019accepted

A time-domain underdetermined multichannel inverse filtering technique is proposed for the feedforward active noise control (ANC) for ducts. In the commonly used filtered-x least-mean-square (FXLMS) algorithm, the feedforward control problem is formulated as an overdetermined inverse filtering probl…

Cited by 0SourceScholar