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Found 11 papers, 2 papers with code
Self-Supervised Contrastive Learning for Singing Voices
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.
Tool- and Domain-Agnostic Parameterization of Style Transfer Effects Leveraging Pretrained Perceptual Metrics
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.
Lyric Video Analysis Using Text Detection and Tracking
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.
Sequential Gallery for Interactive Visual Design Optimization
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
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.
A Melody-Conditioned Lyrics Language Model
This paper presents a novel, data-driven language model that produces entire lyrics for a given input melody.
Taste or Addiction?: Using Play Logs to Infer Song Selection Motivation
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.
Modeling Discourse Segments in Lyrics Using Repeated Patterns
This study proposes a computational model of the discourse segments in lyrics to understand and to model the structure of lyrics.
