Karaoke Key Recommendation Via Personalized Competence-Based Rating Prediction

Yuan Wang,Shigeki Tanaka,Keita Yokoyama,Hsin-Tai Wu,Yi Fang

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)（2021）

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摘要

Karaoke machines have become a popular choice for many people’s daily entertainment. In this paper, we address a novel task of recommending a suitable key for a user to sing a given song to meet his or her vocal competence, by proposing the Personalized Competence-based Rating Prediction (PCRP) model. Specifically, we learn the song embedding vectors from the sequences of songs’ notes, and then de...

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Conferences,Entertainment industry,Signal processing,Predictive models,Natural language processing,Decoding,History

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