Accurate Tempo Estimation Based on Recurrent Neural Networks and Resonating Comb Filters
@inproceedings{Bck2015AccurateTE, title={Accurate Tempo Estimation Based on Recurrent Neural Networks and Resonating Comb Filters}, author={Sebastian B{\"o}ck and Florian Krebs and Gerhard Widmer}, booktitle={ISMIR}, year={2015} }
In this paper we present a new tempo estimation algorithm which uses a bank of resonating comb filters to determine the dominant periodicity of a musical excerpt. Unlike existing (comb filter based) approaches, we do not use handcrafted features derived from the audio signal, but rather let a recurrent neural network learn an intermediate beat-level representation of the signal and use this information as input to the comb filter bank. While most approaches apply complex post-processing to the…
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