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This repo contains the source code of the first deep learning-base singing voice beat tracking system. It leverages WavLM and DistilHuBERT pre-trained speech models to create vocal embeddings and trains linear multi-head self-attention layers on top of them to extract vocal beat activations. Then, it uses HMM decoder to infer signing beats and tempo.

License: MIT License

Python 100.00%
beat-tracking hubert linear-transformer music music-information-retrieval self-supervised singing-voice wavlm

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Paper for the code and the instructions for running it

hi Moji,
Hope you are doing well.
Wanted to check if this repo is a code base for the paper "SingNet: A Real-time Singing Voice Beat and Downbeat Tracking System". If yes, is this a complete code?
Further, would you be able to add an example/instructions to run the code?
Help would be much appreciated.

Thanks
Kewlcoder

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