|Title||Efficient Implementation of Probabilistic Multi-Pitch Tracking|
|Publication Type||Conference Paper|
|Year of Publication||2011|
|Authors||Wohlmayr, M., R. Peharz, and F. Pernkopf|
|Conference Name||36th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011)|
We signiﬁcantly improve the computational efﬁciency of a probabilistic approach for multiple pitch tracking. This method is based on a factorial hidden Markov model and two alternative interaction models for magnitude and log-magnitude spectra, respectively. The main computational bottleneck comprises the determination of observation likelihoods. However, we show that up to 99.5% of the smallest likelihood values can be discarded at each time frame without affecting the overall tracking accuracy. For both interaction models, we present a heuristic to efﬁciently ﬁnd the largest likelihood values. Experiments on the GRID database show that the proposed methods result in a major speedup without signiﬁcantly changing tracking accuracy.