Johannes Traa

According to our database1, Johannes Traa authored at least 12 papers between 2013 and 2016.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2016
Phase difference and tensor factorization models for audio source separation
PhD thesis, 2016

Robust Source Localization and Enhancement With a Probabilistic Steered Response Power Model.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

2015
A Dictionary Learning Approach for Factorial Gaussian Models.
CoRR, 2015

Directional NMF for joint source localization and separation.
Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

Method of moments learning for left-to-right Hidden Markov models.
Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

2014
Multichannel source separation and tracking with RANSAC and directional statistics.
IEEE ACM Trans. Audio Speech Lang. Process., 2014

Spectral Learning of Mixture of Hidden Markov Models.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Multiple speaker tracking with the Factorial von Mises-Fisher Filter.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Robust interchannel phase difference modeling with wrapped regression splines.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Phase and level difference fusion for robust multichannel source separation.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
A Wrapped Kalman Filter for Azimuthal Speaker Tracking.
IEEE Signal Process. Lett., 2013

Blind multi-channel source separation by circular-linear statistical modeling of phase differences.
Proceedings of the IEEE International Conference on Acoustics, 2013


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