Dang Hai Tran Vu

Affiliations:
  • University of Paderborn, Department of Communications Engineering, Germany


According to our database1, Dang Hai Tran Vu authored at least 11 papers between 2007 and 2014.

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

Timeline

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Bibliography

2014
Towards online source counting in speech mixtures applying a variational EM for complex Watson mixture models.
Proceedings of the 14th International Workshop on Acoustic Signal Enhancement, 2014

Source counting in speech mixtures using a variational EM approach for complex WATSON mixture models.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Server based indoor navigation using RSSI and inertial sensor information.
Proceedings of the 10th Workshop on Positioning, Navigation and Communication, 2013

Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation.
Proceedings of the IEEE International Conference on Acoustics, 2013

Blind speech separation exploiting temporal and spectral correlations using 2D-HMMs.
Proceedings of the 21st European Signal Processing Conference, 2013

A hidden Markov model for indoor user tracking based on WiFi fingerprinting and step detection.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Exploiting Temporal Correlations in Joint Multichannel Speech Separation and Noise Suppression Using Hidden Markov Models.
Proceedings of the IWAENC 2012 - International Workshop on Acoustic Signal Enhancement, Proceedings, RWTH Aachen University, Germany, September 4th, 2012

Improved noise power spectral density tracking by a MAP-based postprocessor.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
On Initial Seed Selection for Frequency Domain Blind Speech Separation.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

2010
Blind speech separation employing directional statistics in an Expectation Maximization framework.
Proceedings of the IEEE International Conference on Acoustics, 2010

2007
Blind adaptive principal eigenvector beamforming for acoustical source separation.
Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007


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