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08/23/2023
Audio Difference Captioning Utilizing Similarity-Discrepancy Disentanglement
We proposed Audio Difference Captioning (ADC) as a new extension task of...
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05/23/2023
Masked Modeling Duo for Speech: Specializing General-Purpose Audio Representation to Speech using Denoising Distillation
Self-supervised learning general-purpose audio representations have demo...
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05/13/2023
Description and Discussion on DCASE 2023 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring
We present the task description of the Detection and Classification of A...
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04/27/2023
Deep sound-field denoiser: optically-measured sound-field denoising using deep neural network
This paper proposes a deep sound-field denoiser, a deep neural network (...
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03/01/2023
First-shot anomaly sound detection for machine condition monitoring: A domain generalization baseline
This paper provides a baseline system for First-shot-compliant unsupervi...
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10/26/2022
Masked Modeling Duo: Learning Representations by Encouraging Both Networks to Model the Input
Masked Autoencoders is a simple yet powerful self-supervised learning me...
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07/25/2022
ConceptBeam: Concept Driven Target Speech Extraction
We propose a novel framework for target speech extraction based on seman...
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07/20/2022
Introducing Auxiliary Text Query-modifier to Content-based Audio Retrieval
The amount of audio data available on public websites is growing rapidly...
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06/13/2022
Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques
We present the task description of the Detection and Classification of A...
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05/17/2022
Composing General Audio Representation by Fusing Multilayer Features of a Pre-trained Model
Many application studies rely on audio DNN models pre-trained on a large...
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04/26/2022
Masked Spectrogram Modeling using Masked Autoencoders for Learning General-purpose Audio Representation
Recent general-purpose audio representations show state-of-the-art perfo...
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04/15/2022
BYOL for Audio: Exploring Pre-trained General-purpose Audio Representations
Pre-trained models are essential as feature extractors in modern machine...
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02/18/2022
Multi-view and Multi-modal Event Detection Utilizing Transformer-based Multi-sensor fusion
We tackle a challenging task: multi-view and multi-modal event detection...
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06/08/2021
Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring under Domain Shifted Conditions
We present the task description and discussion on the results of the DCA...
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03/11/2021
BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation
Inspired by the recent progress in self-supervised learning for computer...
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09/24/2020
Effects of Word-frequency based Pre- and Post- Processings for Audio Captioning
The system we used for Task 6 (Automated Audio Captioning)of the Detecti...
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07/01/2020
The NTT DCASE2020 Challenge Task 6 system: Automated Audio Captioning with Keywords and Sentence Length Estimation
This technical report describes the system participating to the Detectio...
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06/10/2020
Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring
This paper presents the details of the DCASE 2020 Challenge Task 2; Unsu...
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02/14/2020
Real-time speech enhancement using equilibriated RNN
We propose a speech enhancement method using a causal deep neural networ...
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02/14/2020
Phase reconstruction based on recurrent phase unwrapping with deep neural networks
Phase reconstruction, which estimates phase from a given amplitude spect...
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11/25/2019
Invertible DNN-based nonlinear time-frequency transform for speech enhancement
We propose an end-to-end speech enhancement method with trainable time-f...
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10/10/2019
First Order Ambisonics Domain Spatial Augmentation for DNN-based Direction of Arrival Estimation
In this paper, we propose a novel data augmentation method for training ...
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08/09/2019
ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection
This paper introduces a new dataset called "ToyADMOS" designed for anoma...
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07/19/2019
Batch Uniformization for Minimizing Maximum Anomaly Score of DNN-based Anomaly Detection in Sounds
Use of an autoencoder (AE) as a normal model is a state-of-the-art techn...
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03/21/2019
Data-driven design of perfect reconstruction filterbank for DNN-based sound source enhancement
We propose a data-driven design method of perfect-reconstruction filterb...
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03/10/2019
Deep Griffin-Lim Iteration
This paper presents a novel phase reconstruction method (only from a giv...
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12/14/2018
AdaFlow: Domain-Adaptive Density Estimator with Application to Anomaly Detection and Unpaired Cross-Domain Translation
We tackle unsupervised anomaly detection (UAD), a problem of detecting d...
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11/05/2018
Trainable Adaptive Window Switching for Speech Enhancement
This study proposes a trainable adaptive window switching (AWS) method a...
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10/22/2018
