OBTAIN: Real-Time Beat Tracking in Audio Signals
This work addresses the problem of real-time beat tracking for audio processing applications, representing an incremental improvement over existing methods.
The paper tackles real-time beat tracking in audio signals by proposing the OBTAIN algorithm, which uses Onset Strength Signal and Cumulative Beat Strength Signal to detect beats, achieving state-of-the-art prediction accuracy with practical computational complexity.
In this paper, we design a system in order to perform the real-time beat tracking for an audio signal. We use Onset Strength Signal (OSS) to detect the onsets and estimate the tempos. Then, we form Cumulative Beat Strength Signal (CBSS) by taking advantage of OSS and estimated tempos. Next, we perform peak detection by extracting the periodic sequence of beats among all CBSS peaks. In simulations, we can see that our proposed algorithm, Online Beat TrAckINg (OBTAIN), outperforms state-of-art results in terms of prediction accuracy while maintaining comparable and practical computational complexity. The real-time performance is tractable visually as illustrated in the simulations.