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Found 14 papers, 2 papers with code
A Melody-Conditioned Lyrics Language Model
This paper presents a novel, data-driven language model that produces entire lyrics for a given input melody.
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.
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.
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.
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.
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.
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.
CatAlyst: Domain-Extensible Intervention for Preventing Task Procrastination Using Large Generative Models
The prompt can function by drawing their interest and lowering the hurdle for resumption even when the generated continuation is insufficient to substitute their work, while recent human-AI collaboration research aiming at work substitution depends on a stable high accuracy.
IteraTTA: An interface for exploring both text prompts and audio priors in generating music with text-to-audio models
However, compared to the image domain, gaining a clear understanding of the space of possible music audios is difficult because users cannot listen to the variations of the generated audios simultaneously.
A Computational Evaluation Framework for Singable Lyric Translation
Lyric translation plays a pivotal role in amplifying the global resonance of music, bridging cultural divides, and fostering universal connections.
