Multiple F0 Estimation and Source Clustering of Polyphonic Music Audio Using PLCA and HMRFs

@article{Arora2015MultipleFE,
  title={Multiple F0 Estimation and Source Clustering of Polyphonic Music Audio Using PLCA and HMRFs},
  author={Vipul Arora and Laxmidhar Behera},
  journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
  year={2015},
  volume={23},
  pages={278-287}
}
Source transcription of pitched polyphonic music entails providing the pitch (F0) values corresponding to each source in a separate channel. This problem is an important step towards many important problems in music and speech processing. It involves 1) estimating the multiple F0 values in each short time frame, and 2) clustering the F0 values into streams corresponding to different sources. We address the problem in an unsupervised way, with only the total number of sources given beforehand… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-4 of 4 extracted citations

Multi-pitch streaming of interwoven streams

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2017
View 6 Excerpts
Highly Influenced

Visually informed multi-pitch analysis of string ensembles

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2017

Performance analysis of different audio with raga Yaman

2015 1st International Conference on Next Generation Computing Technologies (NGCT) • 2015
View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-2 of 2 references

Multi-pitch Streaming of Harmonic Sound Mixtures

IEEE/ACM Transactions on Audio, Speech, and Language Processing • 2014
View 6 Excerpts
Highly Influenced

Multiple Fundamental Frequency Estimation by Modeling Spectral Peaks and Non-Peak Regions

IEEE Transactions on Audio, Speech, and Language Processing • 2010
View 20 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…