Florian Müller

Affiliations:
  • University of Lübeck, Germany


According to our database1, Florian Müller authored at least 12 papers between 2009 and 2013.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2013
Invariant features and enhanced speaker normalization for automatic speech recognition.
PhD thesis, 2013

Feature extraction with a multiscale modulation analysis for robust automatic speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Enhancing Vocal Tract Length Normalization with Elastic Registration for Automatic Speech Recognition.
Proceedings of the INTERSPEECH 2012, 2012

On using the auditory image model and invariant-integration for noise robust automatic speech recognition.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Dereverberation with an Iterative Least-Squares Technique and Minimum Mean-Square Error Estimation for Automatic Speech Recognition.
Proceedings of the 10th ITG Conference on Speech Communication, 2012

2011
Contextual invariant-integration features for improved speaker-independent speech recognition.
Speech Commun., 2011

Noise Robust Speaker-Independent Speech Recognition with Invariant-Integration Features Using Power-Bias Subtraction.
Proceedings of the INTERSPEECH 2011, 2011

2010
Invariant integration features combined with speaker-adaptation methods.
Proceedings of the INTERSPEECH 2010, 2010

An LDA-based Relative Hysteresis Classifier with Application to Segmentation of Retinal Vessels.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Robust Features for Speaker-Independent Speech Recognition Based on a Certain Class of Translation-Invariant Transformations.
Proceedings of the Advances in Nonlinear Speech Processing, 2009

Invariant-integration method for robust feature extraction in speaker-independent speech recognition.
Proceedings of the INTERSPEECH 2009, 2009

Generalized cyclic transformations in speaker-independent speech recognition.
Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009


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