Search Results for author: Masataka Goto

Found 11 papers, 2 papers with code

Self-Supervised Contrastive Learning for Singing Voices

1 code implementation IEEE/ACM Transactions on Audio, Speech, and Language Processing 2022 Hiromu Yakura, Kento Watanabe, Masataka Goto

To acquire robust representations in an unsupervised manner, regular self-supervised contrastive learning trains neural networks to make the feature representation of a sample close to those of its computationally transformed versions.

Contrastive Learning Singer Identification +1

Tool- and Domain-Agnostic Parameterization of Style Transfer Effects Leveraging Pretrained Perceptual Metrics

no code implementations19 May 2021 Hiromu Yakura, Yuki Koyama, Masataka Goto

To enable this, we introduce a framework that utilizes an existing pretrained model for style transfer to calculate a perceptual style distance to the reference sample and uses black-box optimization to find the parameters that minimize this distance.

Style Transfer

Lyric Video Analysis Using Text Detection and Tracking

no code implementations21 Jun 2020 Shota Sakaguchi, Jun Kato, Masataka Goto, Seiichi Uchida

In order to analyze the motion of lyric words, we first apply a state-of-the-art scene text detector and recognizer to each video frame.

Dynamic Time Warping Video Generation

Sequential Gallery for Interactive Visual Design Optimization

no code implementations8 May 2020 Yuki Koyama, Issei Sato, Masataka Goto

To help users respond to plane-search queries, we also propose using a gallery-based interface that provides options in the two-dimensional subspace arranged in an adaptive grid view.

MirrorNet: A Deep Bayesian Approach to Reflective 2D Pose Estimation from Human Images

no code implementations8 Apr 2020 Takayuki Nakatsuka, Kazuyoshi Yoshii, Yuki Koyama, Satoru Fukayama, Masataka Goto, Shigeo Morishima

Specifically, we formulate a hierarchical generative model of poses and images by integrating a deep generative model of poses from pose features with that of images from poses and image features.

Pose Estimation

Taste or Addiction?: Using Play Logs to Infer Song Selection Motivation

no code implementations26 May 2017 Kosetsu Tsukuda, Masataka Goto

Third, we carried out qualitative experiments and showed that taking addiction into account enables us to analyze music listening behavior from a new viewpoint in terms of how people listen to music according to the time of day, how an artist's songs are listened to by people, etc.

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