Tatsuya Komatsu | DeepAI

DeepAI AI Chat

Featured Co-authors

Shinji Watanabe
224 publications
Shinnosuke Takamichi
47 publications
Tomoki Hayashi
38 publications
Hirofumi Inaguma
34 publications
Keisuke Imoto
32 publications
Yusuke Fujita
24 publications
Nanxin Chen
21 publications
Robin Scheibler
19 publications
Yosuke Higuchi
17 publications
Tianzi Wang
16 publications
Yoshiki Masuyama
15 publications

∙ 03/13/2023

Neural Diarization with Non-autoregressive Intermediate Attractors

End-to-end neural diarization (EEND) with encoder-decoder-based attracto...

0 Yusuke Fujita, et al. ∙

∙ 04/05/2022

How Information on Acoustic Scenes and Sound Events Mutually Benefits Event Detection and Scene Classification Tasks

Acoustic scene classification (ASC) and sound event detection (SED) are ...

0 Keisuke Imoto, et al. ∙

∙ 04/01/2022

Better Intermediates Improve CTC Inference

This paper proposes a method for improved CTC inference with searched in...

0 Tatsuya Komatsu, et al. ∙

∙ 04/01/2022

Multi-sequence Intermediate Conditioning for CTC-based ASR

End-to-end automatic speech recognition (ASR) directly maps input speech...

0 Yusuke Fujita, et al. ∙

∙ 04/01/2022

InterAug: Augmenting Noisy Intermediate Predictions for CTC-based ASR

This paper proposes InterAug: a novel training method for CTC-based ASR ...

0 Yu Nakagome, et al. ∙

∙ 02/17/2022

Non-Autoregressive ASR with Self-Conditioned Folded Encoders

This paper proposes CTC-based non-autoregressive ASR with self-condition...

0 Tatsuya Komatsu, et al. ∙

∙ 02/17/2022

Acoustic Event Detection with Classifier Chains

This paper proposes acoustic event detection (AED) with classifier chain...

0 Tatsuya Komatsu, et al. ∙

∙ 02/17/2022

MLP-ASR: Sequence-length agnostic all-MLP architectures for speech recognition

We propose multi-layer perceptron (MLP)-based architectures suitable for...

0 Jin Sakuma, et al. ∙

∙ 10/11/2021

A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation

Non-autoregressive (NAR) models simultaneously generate multiple outputs...

0 Yosuke Higuchi, et al. ∙

∙ 04/21/2021

Label-Synchronous Speech-to-Text Alignment for ASR Using Forward and Backward Transformers

This paper proposes a novel label-synchronous speech-to-text alignment t...

0 Yusuke Kida, et al. ∙

∙ 04/06/2021

Relaxing the Conditional Independence Assumption of CTC-based ASR by Conditioning on Intermediate Predictions

This paper proposes a method to relax the conditional independence assum...

0 Jumon Nozaki, et al. ∙

∙ 06/19/2020

Differentially Private Variational Autoencoders with Term-wise Gradient Aggregation

This paper studies how to learn variational autoencoders with a variety ...

0 Tsubasa Takahashi, et al. ∙

∙ 02/14/2020

Consistency-aware multi-channel speech enhancement using deep neural networks

This paper proposes a deep neural network (DNN)-based multi-channel spee...

0 Yoshiki Masuyama, et al. ∙

∙ 11/11/2019

Unsupervised Training for Deep Speech Source Separation with Kullback-Leibler Divergence Based Probabilistic Loss Function

In this paper, we propose a multi-channel speech source separation with ...

0 Masahito Togami, et al. ∙

∙ 08/27/2019

Overview of Tasks and Investigation of Subjective Evaluation Methods in Environmental Sound Synthesis and Conversion

Synthesizing and converting environmental sounds have the potential for ...

0 Yuki Okamoto, et al. ∙

∙ 07/11/2019

Multichannel Loss Function for Supervised Speech Source Separation by Mask-based Beamforming

In this paper, we propose two mask-based beamforming methods using a dee...

0 Yoshiki Masuyama, et al. ∙

∙ 04/08/2019

Bayesian Non-Parametric Multi-Source Modelling Based Determined Blind Source Separation

This paper proposes a determined blind source separation method using Ba...

0 Chaitanya Narisetty, et al. ∙

∙ 04/05/2019

Modelling of Sound Events with Hidden Imbalances Based on Clustering and Separate Sub-Dictionary Learning

This paper proposes an effective modelling of sound event spectra with a...

0 Chaitanya Narisetty, et al. ∙