Search Results for author: Haoyu Li

Found 8 papers, 3 papers with code

DDS: A new device-degraded speech dataset for speech enhancement

no code implementations16 Sep 2021 Haoyu Li, Junichi Yamagishi

A large and growing amount of speech content in real-life scenarios is being recorded on common consumer devices in uncontrolled environments, resulting in degraded speech quality.

Speech Enhancement Speech Quality

Time Varying Particle Data Feature Extraction and Tracking with Neural Networks

no code implementations27 May 2021 Haoyu Li, Han-Wei Shen

In this paper, we take a deep learning approach to create feature representations for scientific particle data to assist feature extraction and tracking.

Multi-Metric Optimization using Generative Adversarial Networks for Near-End Speech Intelligibility Enhancement

1 code implementation17 Apr 2021 Haoyu Li, Junichi Yamagishi

The intelligibility of speech severely degrades in the presence of environmental noise and reverberation.

Noise Tokens: Learning Neural Noise Templates for Environment-Aware Speech Enhancement

no code implementations8 Apr 2020 Haoyu Li, Junichi Yamagishi

In recent years, speech enhancement (SE) has achieved impressive progress with the success of deep neural networks (DNNs).

Audio and Speech Processing

iMetricGAN: Intelligibility Enhancement for Speech-in-Noise using Generative Adversarial Network-based Metric Learning

1 code implementation Interspeech 2020 Haoyu Li, Szu-Wei Fu, Yu Tsao, Junichi Yamagishi

The intelligibility of natural speech is seriously degraded when exposed to adverse noisy environments.

Audio and Speech Processing Sound

NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation

no code implementations19 Apr 2019 Subhashis Hazarika, Haoyu Li, Ko-Chih Wang, Han-Wei Shen, Ching-Shan Chou

We utilize the trained network to perform interactive parameter sensitivity analysis of the original simulation at multiple levels-of-detail as well as recommend optimal parameter configurations using the activation maximization framework of neural networks.

Faster super-resolution imaging with auto-correlation two-step deconvolution

2 code implementations19 Sep 2018 Weisong Zhao, Jian Liu, Chenqi Kong, Yixuan Zhao, Changliang Guo, Chen-Guang Liu, Xiangyan Ding, Xumin Ding, Jiubin Tan, Haoyu Li

Despite super-resolution fluorescence blinking microscopes break the diffraction limit, the intense phototoxic illumination and long-term image sequences thus far still pose to major challenges in visualizing live-organisms.


Volumetric Light-field Encryption at the Microscopic Scale

no code implementations26 Oct 2016 Haoyu Li, Changliang Guo, Inbarasan Muniraj, Bryce C. Schroeder, John T. Sheridan, Shu Jia

We report a light-field based method that allows the optical encryption of three-dimensional (3D) volumetric information at the microscopic scale in a single 2D light-field image.

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