research
∙
05/30/2023
LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus
This paper introduces a new speech dataset called “LibriTTS-R” designed ...
share
research
∙
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...
research
∙
03/03/2023
Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations
Speech restoration (SR) is a task of converting degraded speech signals ...
research
∙
10/03/2022
WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on Fixed-Point Iteration
Denoising diffusion probabilistic models (DDPMs) and generative adversar...
research
∙
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...
research
∙
04/26/2022
Mask scalar prediction for improving robust automatic speech recognition
Using neural network based acoustic frontends for improving robustness o...
research
∙
03/31/2022
SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping
Neural vocoder using denoising diffusion probabilistic model (DDPM) has ...
research
∙
11/01/2021
SNRi Target Training for Joint Speech Enhancement and Recognition
This study aims to improve the performance of automatic speech recogniti...
research
∙
06/30/2021
DF-Conformer: Integrated architecture of Conv-TasNet and Conformer using linear complexity self-attention for speech enhancement
Single-channel speech enhancement (SE) is an important task in speech pr...
research
∙
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...
research
∙
05/10/2021
Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant Method
Audio source separation is often used as preprocessing of various applic...
research
∙
12/14/2020
Audio Captioning using Pre-Trained Large-Scale Language Model Guided by Audio-based Similar Caption Retrieval
The goal of audio captioning is to translate input audio into its descri...
research
∙
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...
research
∙
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...
research
∙
07/01/2020
A Transformer-based Audio Captioning Model with Keyword Estimation
One of the problems with automated audio captioning (AAC) is the indeter...
research
∙
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...
research
∙
06/10/2020
Listen to What You Want: Neural Network-based Universal Sound Selector
Being able to control the acoustic events (AEs) to which we want to list...
research
∙
02/14/2020
Sound Event Localization based on Sound Intensity Vector Refined By DNN-Based Denoising and Source Separation
We propose a direction-of-arrival (DOA) estimation method for Sound Even...
research
∙
02/14/2020
Stable Training of DNN for Speech Enhancement based on Perceptually-Motivated Black-Box Cost Function
Improving subjective sound quality of enhanced signals is one of the mos...
research
∙
02/14/2020
Speech Enhancement using Self-Adaptation and Multi-Head Self-Attention
This paper investigates a self-adaptation method for speech enhancement ...
research
∙
02/14/2020
Sound Event Detection by Multitask Learning of Sound Events and Scenes with Soft Scene Labels
Sound event detection (SED) and acoustic scene classification (ASC) are ...
research
∙
02/14/2020
Real-time speech enhancement using equilibriated RNN
We propose a speech enhancement method using a causal deep neural networ...
research
∙
02/14/2020
Phase reconstruction based on recurrent phase unwrapping with deep neural networks
Phase reconstruction, which estimates phase from a given amplitude spect...
research
∙
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...
research
∙
10/10/2019
DOA Estimation by DNN-based Denoising and Dereverberation from Sound Intensity Vector
We propose a direction of arrival (DOA) estimation method that combines ...
research
∙
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 ...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
03/10/2019
Deep Griffin-Lim Iteration
This paper presents a novel phase reconstruction method (only from a giv...
research
∙
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...
research
∙
11/05/2018
Trainable Adaptive Window Switching for Speech Enhancement
This study proposes a trainable adaptive window switching (AWS) method a...
research
∙
10/22/2018
DNN-based Source Enhancement to Increase Objective Sound Quality Assessment Score
We propose a training method for deep neural network (DNN)-based source ...
research
∙
10/22/2018