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20192025
most citedExploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks

43 citations · 96 across the 12 of their papers we have counts for

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8 papers · 1 filter

cs.SD2025★ 1 cited

Stereo Sound Event Localization and Detection with Onscreen/offscreen Classification

Kazuki Shimada, Archontis Politis, Iran R. Roman +10

This paper presents the objective, dataset, baseline, and metrics of Task 3 of the DCASE2025 Challenge on sound event localization and detection (SELD). In previous editions, the c…

cs.SD2024

Music Foundation Model as Generic Booster for Music Downstream Tasks

WeiHsiang Liao, Yuhta Takida, Yukara Ikemiya +13

We demonstrate the efficacy of using intermediate representations from a single foundation model to enhance various music downstream tasks. We introduce SoniDo, a music foundation…

cs.SD2023

Zero- and Few-shot Sound Event Localization and Detection

Kazuki Shimada, Kengo Uchida, Yuichiro Koyama +4

Sound event localization and detection (SELD) systems estimate direction-of-arrival (DOA) and temporal activation for sets of target classes. Neural network (NN)-based SELD systems…

cs.SD2023★ 7 cited

STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events

Kazuki Shimada, Archontis Politis, Parthasaarathy Sudarsanam +9

While direction of arrival (DOA) of sound events is generally estimated from multichannel audio data recorded in a microphone array, sound events usually derive from visually perce…

cs.SD2023

Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders

Hao Shi, Kazuki Shimada, Masato Hirano +6

Diffusion-based generative speech enhancement (SE) has recently received attention, but reverse diffusion remains time-consuming. One solution is to initialize the reverse diffusio…

cs.SD2021

Spatial Data Augmentation with Simulated Room Impulse Responses for Sound Event Localization and Detection

Yuichiro Koyama, Kazuhide Shigemi, Masafumi Takahashi +5

Recording and annotating real sound events for a sound event localization and detection (SELD) task is time consuming, and data augmentation techniques are often favored when the a…