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Found 7 papers, 4 papers with code
Jam-ALT: A Formatting-Aware Lyrics Transcription Benchmark
Current automatic lyrics transcription (ALT) benchmarks focus exclusively on word content and ignore the finer nuances of written lyrics including formatting and punctuation, which leads to a potential misalignment with the creative products of musicians and songwriters as well as listeners' experiences.
Ranked #1 on
Automatic Lyrics Transcription
on Jam-ALT Spanish
TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music
In this paper, we propose TONet, a plug-and-play model that improves both tone and octave perceptions by leveraging a novel input representation and a novel network architecture.
Towards Cross-Cultural Analysis using Music Information Dynamics
The framework is based on an Music Information Dynamics model, a Variable Markov Oracle (VMO), and is extended with a variational representation learning of audio.
Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm
Drawing an analogy with automatic image completion systems, we propose Music SketchNet, a neural network framework that allows users to specify partial musical ideas guiding automatic music generation.
Deep Autotuner: a Pitch Correcting Network for Singing Performances
We train our neural network model using a dataset of 4, 702 amateur karaoke performances selected for good intonation.
Deep Autotuner: A Data-Driven Approach to Natural-Sounding Pitch Correction for Singing Voice in Karaoke Performances
This approach differs from commercially used automatic pitch correction systems, where notes in the vocal tracks are shifted to be centered around notes in a user-defined score or mapped to the closest pitch among the twelve equal-tempered scale degrees.
Free-body Gesture Tracking and Augmented Reality Improvisation for Floor and Aerial Dance
This paper describes an updated interactive performance system for floor and Aerial Dance that controls visual and sonic aspects of the presentation via a depth sensing camera (MS Kinect).
