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09/17/2023
Zero- and Few-shot Sound Event Localization and Detection
Sound event localization and detection (SELD) systems estimate direction...
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06/15/2023
STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events
While direction of arrival (DOA) of sound events is generally estimated ...
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05/18/2023
Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders
Diffusion-based speech enhancement (SE) has been investigated recently, ...
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05/10/2023
Diffusion-based Signal Refiner for Speech Separation
We have developed a diffusion-based speech refiner that improves the ref...
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06/04/2022
STARSS22: A dataset of spatial recordings of real scenes with spatiotemporal annotations of sound events
This report presents the Sony-TAu Realistic Spatial Soundscapes 2022 (ST...
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02/03/2022
Removing Distortion Effects in Music Using Deep Neural Networks
Audio effects are an essential element in the context of music productio...
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10/14/2021
Multi-ACCDOA: Localizing and Detecting Overlapping Sounds from the Same Class with Auxiliary Duplicating Permutation Invariant Training
Sound event localization and detection (SELD) involves identifying the d...
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10/13/2021
Spatial Data Augmentation with Simulated Room Impulse Responses for Sound Event Localization and Detection
Recording and annotating real sound events for a sound event localizatio...
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10/13/2021
Music Source Separation with Deep Equilibrium Models
While deep neural network-based music source separation (MSS) is very ef...
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10/12/2021
Spatial mixup: Directional loudness modification as data augmentation for sound event localization and detection
Data augmentation methods have shown great importance in diverse supervi...
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06/21/2021
Ensemble of ACCDOA- and EINV2-based Systems with D3Nets and Impulse Response Simulation for Sound Event Localization and Detection
This report describes our systems submitted to the DCASE2021 challenge t...
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10/29/2020
ACCDOA: Activity-Coupled Cartesian Direction of Arrival Representation for Sound Event Localization and Detection
Neural-network (NN)-based methods show high performance in sound event l...
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05/23/2020
Exploring Optimal DNN Architecture for End-to-End Beamformers Based on Time-frequency References
Acoustic beamformers have been widely used to enhance audio signals. Cur...
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05/23/2020
Efficient Integration of Multi-channel Information for Speaker-independent Speech Separation
Although deep-learning-based methods have markedly improved the performa...
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05/23/2020
Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks
Recently, deep neural networks (DNNs) have been successfully used for sp...
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10/31/2019
W-Net BF: DNN-based Beamformer Using Joint Training Approach
Acoustic beamformers have been widely used to enhance audio signals. The...
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10/30/2019