Yuko Ishiwaka — accepted AI-conference papers

2022

DeepFoids: Adaptive Bio-Inspired Fish Simulation with Deep Reinforcement Learning

Yuko Ishiwaka, Xiao Steven Zeng, Shun Ogawa, Donovan Michael Westwater, Tadayuki Tone, Masaki Nakada

NeurIPS 2022accept

Our goal is to synthesize realistic underwater scenes with various fish species in different fish cages, which can be utilized to train computer vision models to automate fish counting and sizing tasks. It is a challenging problem to prepare a sufficiently diverse labeled dataset of images from aqua…

Cited by 5 Source ↗PDF ↗Scholar ↗

2022

Dynamic Sliding Window for Realtime Denoising Networks

Jinxu Xiang, Yuyang Zhu, Rundi Wu, Ruilin Xu, Yuko Ishiwaka, Changxi Zheng

ICASSP 2022accepted

Realtime speech denoising has been long studied. Almost all existing methods process the incoming data stream using a sliding window of fixed-size. Yet, we show that the use of fixed-size sliding window may lead to an accumulating lag, especially in presence of other background computing processes t…

Cited by 0 Source ↗Scholar ↗

2020

Listening to Sounds of Silence for Speech Denoising

Ruilin Xu, Rundi Wu, Yuko Ishiwaka, Carl Vondrick, Changxi Zheng

NeurIPS 2020poster

We introduce a deep learning model for speech denoising, a long-standing challenge in audio analysis arising in numerous applications. Our approach is based on a key observation about human speech: there is often a short pause between each sentence or word. In a recorded speech signal, those pauses…

Cited by 55 Source ↗PDF ↗code ↗Scholar ↗