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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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2 results for “karaoke”

Deep Autotuner: A Data-Driven Approach to Natural-Sounding Pitch Correction for Singing Voice in Karaoke Performancescs.SD

Deep Autotuner corrects singing pitch without scores, using vocal and accompaniment spectral data.

problem Automatic pitch correction without musical scores for singing performances.

method Convolutional Gated Recurrent Unit (CGRU) model trained on karaoke data.

result The model predicts pitch correction from vocal and accompaniment spectral contents, making the voice sound in tune with the accompaniment.

pitch correction karaoke machine learning spectral analysis unsupervised learning

2019-02-03abs ↗pdf ↗

Deep Autotuner: a Pitch Correcting Network for Singing Performancescs.SD

Deep Autotuner corrects singing pitch using neural networks.

problem Automatic pitch correction for singing performances.

method Neural network model trained on spectrograms of singing and accompaniment.

result Neural network predicts continuous pitch shifts, allowing for improvisation and harmonization.

pitch correction singing performance neural networks spectrograms continuous value

2020-02-12abs ↗pdf ↗