Search Results for author: Yuki Mitsufuji

Found 40 papers, 20 papers with code

On the Equivalence of Consistency-Type Models: Consistency Models, Consistent Diffusion Models, and Fokker-Planck Regularization

no code implementations1 Jun 2023 Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji, Stefano Ermon

The emergence of various notions of ``consistency'' in diffusion models has garnered considerable attention and helped achieve improved sample quality, likelihood estimation, and accelerated sampling.

The Whole Is Greater than the Sum of Its Parts: Improving DNN-based Music Source Separation

1 code implementation13 May 2023 Ryosuke Sawata, Naoya Takahashi, Stefan Uhlich, Shusuke Takahashi, Yuki Mitsufuji

We modify the target network, i. e., the network architecture of the original DNN-based MSS, by adding bridging paths for each output instrument to share their information.

Music Source Separation

Diffusion-based Signal Refiner for Speech Separation

no code implementations10 May 2023 Masato Hirano, Kazuki Shimada, Yuichiro Koyama, Shusuke Takahashi, Yuki Mitsufuji

We experimentally show that our refiner can provide a clearer harmonic structure of speech and improves the reference-free metric of perceptual quality for arbitrary preceding model architectures.

Denoising Speech Enhancement +1

PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narratives

1 code implementation3 May 2023 Silin Gao, Beatriz Borges, Soyoung Oh, Deniz Bayazit, Saya Kanno, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut

They must also learn to maintain consistent speaker personas for themselves throughout the narrative, so that their counterparts feel involved in a realistic conversation or story.

Knowledge Graphs

Cross-modal Face- and Voice-style Transfer

no code implementations27 Feb 2023 Naoya Takahashi, Mayank K. Singh, Yuki Mitsufuji

Image-to-image translation and voice conversion enable the generation of a new facial image and voice while maintaining some of the semantics such as a pose in an image and linguistic content in audio, respectively.

Image-to-Image Translation Style Transfer +2

Adversarially Slicing Generative Networks: Discriminator Slices Feature for One-Dimensional Optimal Transport

no code implementations30 Jan 2023 Yuhta Takida, Masaaki Imaizumi, Chieh-Hsin Lai, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji

Generative adversarial networks (GANs) learn a target probability distribution by optimizing a generator and a discriminator with minimax objectives.

GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration

no code implementations30 Jan 2023 Naoki Murata, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon

Pre-trained diffusion models have been successfully used as priors in a variety of linear inverse problems, where the goal is to reconstruct a signal from noisy linear measurements.

Blind Image Deblurring Denoising +1

CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos

1 code implementation14 Dec 2022 Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian McAuley, Taylor Berg-Kirkpatrick

Further, videos in the wild often contain off-screen sounds and background noise that may hinder the model from learning the desired audio-textual correspondence.

Unsupervised vocal dereverberation with diffusion-based generative models

no code implementations8 Nov 2022 Koichi Saito, Naoki Murata, Toshimitsu Uesaka, Chieh-Hsin Lai, Yuhta Takida, Takao Fukui, Yuki Mitsufuji

Removing reverb from reverberant music is a necessary technique to clean up audio for downstream music manipulations.

Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects

1 code implementation4 Nov 2022 Junghyun Koo, Marco A. Martínez-Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Kyogu Lee, Yuki Mitsufuji

We propose an end-to-end music mixing style transfer system that converts the mixing style of an input multitrack to that of a reference song.

Contrastive Learning Disentanglement +2

Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement

no code implementations27 Oct 2022 Ryosuke Sawata, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji

Although deep neural network (DNN)-based speech enhancement (SE) methods outperform the previous non-DNN-based ones, they often degrade the perceptual quality of generated outputs.

Denoising Speech Enhancement

ComFact: A Benchmark for Linking Contextual Commonsense Knowledge

1 code implementation23 Oct 2022 Silin Gao, Jena D. Hwang, Saya Kanno, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut

Understanding rich narratives, such as dialogues and stories, often requires natural language processing systems to access relevant knowledge from commonsense knowledge graphs.

Knowledge Graphs Response Generation +1

Robust One-Shot Singing Voice Conversion

no code implementations20 Oct 2022 Naoya Takahashi, Mayank Kumar Singh, Yuki Mitsufuji

In this work, we propose robust one-shot SVC (ROSVC) that performs any-to-any SVC robustly even on such distorted singing voices using less than 10s of a reference voice.

Voice Conversion

Hierarchical Diffusion Models for Singing Voice Neural Vocoder

no code implementations14 Oct 2022 Naoya Takahashi, Mayank Kumar, Singh, Yuki Mitsufuji

Recent progress in deep generative models has improved the quality of neural vocoders in speech domain.

Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation

no code implementations9 Oct 2022 Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon

Score-based generative models learn a family of noise-conditional score functions corresponding to the data density perturbed with increasingly large amounts of noise.

Denoising

Automatic music mixing with deep learning and out-of-domain data

1 code implementation24 Aug 2022 Marco A. Martínez-Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Stefan Uhlich, Chihiro Nagashima, Yuki Mitsufuji

Music mixing traditionally involves recording instruments in the form of clean, individual tracks and blending them into a final mixture using audio effects and expert knowledge (e. g., a mixing engineer).

STARSS22: A dataset of spatial recordings of real scenes with spatiotemporal annotations of sound events

2 code implementations4 Jun 2022 Archontis Politis, Kazuki Shimada, Parthasaarathy Sudarsanam, Sharath Adavanne, Daniel Krause, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Yuki Mitsufuji, Tuomas Virtanen

Additionally, the report presents the baseline system that accompanies the dataset in the challenge with emphasis on the differences with the baseline of the previous iterations; namely, introduction of the multi-ACCDOA representation to handle multiple simultaneous occurences of events of the same class, and support for additional improved input features for the microphone array format.

Sound Event Localization and Detection

SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization

1 code implementation16 May 2022 Yuhta Takida, Takashi Shibuya, WeiHsiang Liao, Chieh-Hsin Lai, Junki Ohmura, Toshimitsu Uesaka, Naoki Murata, Shusuke Takahashi, Toshiyuki Kumakura, Yuki Mitsufuji

In this paper, we propose a new training scheme that extends the standard VAE via novel stochastic dequantization and quantization, called stochastically quantized variational autoencoder (SQ-VAE).

Quantization

Distortion Audio Effects: Learning How to Recover the Clean Signal

no code implementations3 Feb 2022 Johannes Imort, Giorgio Fabbro, Marco A. Martínez Ramírez, Stefan Uhlich, Yuichiro Koyama, Yuki Mitsufuji

Given the recent advances in music source separation and automatic mixing, removing audio effects in music tracks is a meaningful step toward developing an automated remixing system.

Music Source Separation

Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks

no code implementations13 Oct 2021 Bo-Yu Chen, Wei-Han Hsu, Wei-Hsiang Liao, Marco A. Martínez Ramírez, Yuki Mitsufuji, Yi-Hsuan Yang

A central task of a Disc Jockey (DJ) is to create a mixset of mu-sic with seamless transitions between adjacent tracks.

Music Demixing Challenge 2021

1 code implementation31 Aug 2021 Yuki Mitsufuji, Giorgio Fabbro, Stefan Uhlich, Fabian-Robert Stöter, Alexandre Défossez, Minseok Kim, Woosung Choi, Chin-Yun Yu, Kin-Wai Cheuk

The main differences compared with the past challenges are 1) the competition is designed to more easily allow machine learning practitioners from other disciplines to participate, 2) evaluation is done on a hidden test set created by music professionals dedicated exclusively to the challenge to assure the transparency of the challenge, i. e., the test set is not accessible from anyone except the challenge organizers, and 3) the dataset provides a wider range of music genres and involved a greater number of mixing engineers.

Music Source Separation

Densely Connected Multi-Dilated Convolutional Networks for Dense Prediction Tasks

1 code implementation CVPR 2021 Naoya Takahashi, Yuki Mitsufuji

In this paper, we claim the importance of a dense simultaneous modeling of multiresolution representation and propose a novel CNN architecture called densely connected multidilated DenseNet (D3Net).

Audio Source Separation Semantic Segmentation

Training Speech Enhancement Systems with Noisy Speech Datasets

no code implementations26 May 2021 Koichi Saito, Stefan Uhlich, Giorgio Fabbro, Yuki Mitsufuji

Furthermore, we propose a noise augmentation scheme for mixture-invariant training (MixIT), which allows using it also in such scenarios.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Preventing Oversmoothing in VAE via Generalized Variance Parameterization

no code implementations17 Feb 2021 Yuhta Takida, Wei-Hsiang Liao, Chieh-Hsin Lai, Toshimitsu Uesaka, Shusuke Takahashi, Yuki Mitsufuji

Variational autoencoders (VAEs) often suffer from posterior collapse, which is a phenomenon in which the learned latent space becomes uninformative.

Hierarchical disentangled representation learning for singing voice conversion

no code implementations18 Jan 2021 Naoya Takahashi, Mayank Kumar Singh, Yuki Mitsufuji

Conventional singing voice conversion (SVC) methods often suffer from operating in high-resolution audio owing to a high dimensionality of data.

Representation Learning Voice Conversion

AR-ELBO: Preventing Posterior Collapse Induced by Oversmoothing in Gaussian VAE

no code implementations1 Jan 2021 Yuhta Takida, Wei-Hsiang Liao, Toshimitsu Uesaka, Shusuke Takahashi, Yuki Mitsufuji

Variational autoencoders (VAEs) often suffer from posterior collapse, which is a phenomenon that the learned latent space becomes uninformative.

Densely connected multidilated convolutional networks for dense prediction tasks

1 code implementation21 Nov 2020 Naoya Takahashi, Yuki Mitsufuji

In this paper, we claim the importance of a dense simultaneous modeling of multiresolution representation and propose a novel CNN architecture called densely connected multidilated DenseNet (D3Net).

Audio Source Separation Music Source Separation +1

All for One and One for All: Improving Music Separation by Bridging Networks

5 code implementations8 Oct 2020 Ryosuke Sawata, Stefan Uhlich, Shusuke Takahashi, Yuki Mitsufuji

This paper proposes several improvements for music separation with deep neural networks (DNNs), namely a multi-domain loss (MDL) and two combination schemes.

Music Source Separation

Adversarial attacks on audio source separation

no code implementations7 Oct 2020 Naoya Takahashi, Shota Inoue, Yuki Mitsufuji

Despite the excellent performance of neural-network-based audio source separation methods and their wide range of applications, their robustness against intentional attacks has been largely neglected.

Adversarial Attack Audio Source Separation

D3Net: Densely connected multidilated DenseNet for music source separation

1 code implementation5 Oct 2020 Naoya Takahashi, Yuki Mitsufuji

In this paper, we claim the importance of a rapid growth of a receptive field and a simultaneous modeling of multi-resolution data in a single convolution layer, and propose a novel CNN architecture called densely connected dilated DenseNet (D3Net).

Ranked #11 on Music Source Separation on MUSDB18 (using extra training data)

Music Source Separation

Improving Voice Separation by Incorporating End-to-end Speech Recognition

1 code implementation29 Nov 2019 Naoya Takahashi, Mayank Kumar Singh, Sakya Basak, Parthasaarathy Sudarsanam, Sriram Ganapathy, Yuki Mitsufuji

Despite recent advances in voice separation methods, many challenges remain in realistic scenarios such as noisy recording and the limits of available data.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

MMDenseLSTM: An efficient combination of convolutional and recurrent neural networks for audio source separation

1 code implementation7 May 2018 Naoya Takahashi, Nabarun Goswami, Yuki Mitsufuji

Deep neural networks have become an indispensable technique for audio source separation (ASS).

Ranked #15 on Music Source Separation on MUSDB18 (using extra training data)

Music Source Separation Sound Audio and Speech Processing

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