Florian Müller

Former Research Associate

Publications

2012

  • Florian Müller, and Alfred Mertins,
    Dereverberation with an Iterative Least-Squares Technique and Minimum Mean-Square Error Estimation for Automatic Speech Recognition, in Proc. ITG Fachtagung Sprachkommunikation , Braunschweig, Germany , 2012.
    File: ITG2012_MuellerMertinsDownload.pdf
    Bibtex: BibTeX
    @INPROCEEDINGS{Muller2012c,
      author = {Florian M{\"u}ller and Alfred Mertins},
      title = {Dereverberation with an Iterative Least-Squares Technique and Minimum
    	Mean-Square Error Estimation for Automatic Speech Recognition},
      booktitle = {Proc. ITG Fachtagung Sprachkommunikation},
      year = {2012},
      address = {Braunschweig, Germany},
      month = {Sept.}
    }

  • Florian Müller, and Alfred Mertins,
    Enhancing Vocal Tract Length Normalization with Elastic Registration for Automatic Speech Recognition, in Proc. Interspeech-2012 , Portland, USA , 2012.
    File: Interspeech12_MuellerMertins_Download.pdf
    Bibtex: BibTeX
    @INPROCEEDINGS{Muller2012b,
      author = {Florian M{\"u}ller and Alfred Mertins},
      title = {Enhancing Vocal Tract Length Normalization with Elastic Registration
    	for Automatic Speech Recognition},
      booktitle = {Proc. Interspeech-2012},
      year = {2012},
      pages = {},
      address = {Portland, USA},
      month = {Sept.}
    }

  • Florian Müller, and Alfred Mertins,
    On the Use of a Wave-Reflection Model for the Estimation of Spectral Effects due to Vocal Tract Length Changes with Application to Automatic Speech Recognition, in Proc. 38th German Annual Conference on Acoustics (DAGA 2012) , Darmstadt, Germany , 2012.
    File: DAGA2012_main_submit.pdf
    Bibtex: BibTeX
    @INPROCEEDINGS{Muller2012a,
      author = {Florian Müller and Alfred Mertins},
      title = {On the Use of a Wave-Reflection Model for the Estimation of Spectral
    	Effects due to Vocal Tract Length Changes with Application to Automatic
    	Speech Recognition},
      booktitle = {Proc. 38th German Annual Conference on Acoustics (DAGA 2012)},
      year = {2012},
      address = {Darmstadt, Germany},
      month = {Mar.}
    }

  • Florian Müller, and Alfred Mertins,
    On Using the Auditory Image Model and Invariant-Integration for Noise Robust Automatic Speech Recognition, in Proc. Int. Conf. Audio, Speech, and Signal Processing , Kyoto, Japan , 2012. pp. 4905-4908.
    File: 0004905_01.pdf
    Bibtex: BibTeX
    @INPROCEEDINGS{Muller2012,
      author = {Florian Müller and Alfred Mertins},
      title = {On Using the Auditory Image Model and Invariant-Integration for Noise
    	Robust Automatic Speech Recognition},
      booktitle = {Proc. Int. Conf. Audio, Speech, and Signal Processing},
      year = {2012},
      address = {Kyoto, Japan},
      pages = {4905-4908},
      month = {Mar.}
    }

  • 2011

  • Florian Müller, and Alfred Mertins,
    Contextual invariant-integration features for improved speaker-independent speech recognition, Speech Communication , vol. 53, no. 6, pp. 830 - 841, 2011.
    DOI:http://dx.doi.org/10.1016/j.specom.2011.02.002
    File: Mueller-Mertins-SpeechCom2011.pdf
    Bibtex: BibTeX
    @ARTICLE{Muller2011,
      author = {Florian Müller and Alfred Mertins},
      title = {Contextual invariant-integration features for improved speaker-independent
    	speech recognition},
      journal = {Speech Communication},
      year = {2011},
      volume = {53},
      pages = {830 - 841},
      number = {6},
      abstract = {This work presents a feature-extraction method that is based on the
    	theory of invariant integration. The invariant-integration features
    	are derived from an extended time period, and their computation has
    	a very low complexity. Recognition experiments show a superior performance
    	of the presented feature type compared to cepstral coefficients using
    	a mel filterbank (MFCCs) or a gammatone filterbank (GTCCs) in matching
    	as well as in mismatching training-testing conditions. Even without
    	any speaker adaptation, the presented features yield accuracies that
    	are larger than for MFCCs combined with vocal tract length normalization
    	(VTLN) in matching training-test conditions. Also, it is shown that
    	the invariant-integration features (IIFs) can be successfully combined
    	with additional speaker-adaptation methods to further increase the
    	accuracy. In addition to standard MFCCs also contextual MFCCs are
    	introduced. Their performance lies between the one of MFCCs and IIFs.},
      doi = {http://dx.doi.org/10.1016/j.specom.2011.02.002},
      issn = {0167-6393},
      keywords = {Speech recognition}
    }

  • Florian Müller, and Alfred Mertins,
    Noise Robust Speaker-Independent Speech Recognition with Invariant-Integration Features Using Power-Bias Subtraction, in Proc. Interspeech-2011 , Florence, Italy , 2011. pp. 1677-1680.
    File: IS110512.pdf
    Bibtex: BibTeX
    @INPROCEEDINGS{Muller2011b,
      author = {Florian Müller and Alfred Mertins},
      title = {Noise Robust Speaker-Independent Speech Recognition with Invariant-Integration
    	Features Using Power-Bias Subtraction},
      booktitle = {Proc. Interspeech-2011},
      year = {2011},
      pages = {1677-1680},
      address = {Florence, Italy},
      month = {Aug.}
    }

  • Florian Müller, and Alfred Mertins,
    Robust Continuous Speech Recognition through Combination of Invariant-Feature Based Systems, in Proc. German Conf. Speech Signal Processing (ESSV 2011) , Aachen, Germany , 2011. pp. 229-236.
    File: ESSV2011_MuellerMertins_ROVER_download.pdf
    Bibtex: BibTeX
    @INPROCEEDINGS{Muller2011a,
      author = {Florian M{\"u}ller and Alfred Mertins},
      title = {Robust Continuous Speech Recognition through Combination of Invariant-Feature
    	Based Systems},
      booktitle = {Proc. German Conf. Speech Signal Processing (ESSV 2011)},
      year = {2011},
      pages = {229-236},
      address = {Aachen, Germany},
      month = {Sept.}
    }

  • 2010

  • A. P. Condurache, F. Müller, and A. Mertins,
    An LDA-based relative hysteresis classifier with application to segmentation of retinal vessels, in Proc. Int. Conf. Pattern Recognition (ICPR) , Istanbul, Turkey , 2010. pp. 4202--4205.
    File: icpr10_Condurache.pdf
    Bibtex: BibTeX
    @INPROCEEDINGS{Condurache2010,
      author = {A. P. Condurache and F. Müller and A. Mertins},
      title = {An LDA-based relative hysteresis classifier with application to segmentation
    	of retinal vessels},
      booktitle = {Proc. Int. Conf. Pattern Recognition (ICPR)},
      year = {2010},
      address = {Istanbul, Turkey},
      month = {Sept.},
      pages = {4202--4205},
      abstract = {In a pattern classification setup, image segmentation is achieved
    	by assigning each pixel to one of two classes: object or background.
    	The special case of vessel segmentation is characterized by a strong
    	disproportion between the number of representatives of each class
    	(i.e. class skew) and also by a strong overlap between classes. These
    	difficulties can be solved using problem-specific knowledge. The
    	proposed hysteresis classification makes use of such knowledge in
    	an efficient way. We describe a novel, supervised, hysteresisbased
    	classification method that we apply to the segmentation of retina
    	photographies. This procedure is fast and achieves results that comparable
    	or even superior to other hysteresis methods and, for the problem
    	of retina vessel segmentation, to known dedicated methods on similar
    	data sets.}
    }

  • Florian Müller, and Alfred Mertins,
    Invariant Integration Features Combined with Speaker-Adaptation Methods, in Proc. Int. Conf. Spoken Language Processing (Interspeech 2010-ICSLP) , Makuhari, Japan , 2010. pp. 2622--2625.
    File: Mueller-Mertins-Interspeech2010_01.PDF
    Bibtex: BibTeX
    @INPROCEEDINGS{Muller2010a,
      author = {Florian M{\"u}ller and Alfred Mertins},
      title = {Invariant Integration Features Combined with Speaker-Adaptation Methods},
      booktitle = {Proc. Int. Conf. Spoken Language Processing (Interspeech 2010-ICSLP)},
      year = {2010},
      address = {Makuhari, Japan},
      month = {Sept.},
      pages = {2622--2625},
      abstract = {Speaker-normalization and -adaptation methods are essential components
    	of state-of-the-art speech recognition systems nowadays. Recently,
    	so-called invariant integration features were presented which are
    	motivated by the theory of invariants. While it was shown that the
    	integration features outperform MFCCs when used with a basic monophone
    	recognition system, it was left open, if their benefits still can
    	be observed when a more sophisticated recognition system with speaker-normalization
    	and/or speaker-adaptation components is used. This work investigates
    	the combination of the integration features with standard speaker-normalization
    	and -adaptation methods. We show that the integration features benefit
    	from adaptation methods and significantly outperform MFCCs in matching,
    	as well as in mismatching training-test conditions.},
      keywords = {Speaker independency, invariant integration, speaker normalization, speaker adaptation}
    }
    

  • Florian Müller, and Alfred Mertins,
    Robust Features for Speaker-Independent Speech Recognition Based on a Certain Class of Translation-Invariant Transformations, in Advances in Nonlinear Speech Processing , Jordi Sole-Casals and Vladimir Zaiats, Eds. Heidelberg, Germany: Springer, 2010. pp. 111-119.
    ISBN:978-3-642-11508-0
    File: Mueller-Mertins-LNAI2010.pdf
    Bibtex: BibTeX
    @INPROCEEDINGS{Muller2010,
      author = {Florian Müller and Alfred Mertins},
      title = {Robust Features for Speaker-Independent Speech Recognition Based
    	on a Certain Class of Translation-Invariant Transformations},
      booktitle = {Advances in Nonlinear Speech Processing},
      year = {2010},
      editor = {Jordi Sole-Casals and Vladimir Zaiats},
      volume = {5933},
      series = {LNAI},
      pages = {111-119},
      address = {Heidelberg, Germany},
      month = {Feb.},
      publisher = {Springer},
      isbn = {978-3-642-11508-0}
    }
    
    

  • 2009

  • Florian Müller, Eugene Belilovsky, and Alfred Mertins,
    Generalized Cyclic Transformations in Speaker-Independent Speech Recognition, in Proc. 2009 IEEE Automatic Speech Recognition and Understanding Workshop , Merano, Italy , 2009.
    File: AS090112.pdf
    Bibtex: BibTeX
    @INPROCEEDINGS{Muller2009b,
      author = {Florian Müller and Eugene Belilovsky and Alfred Mertins},
      title = {Generalized Cyclic Transformations in Speaker-Independent Speech Recognition},
      booktitle = {Proc. 2009 IEEE Automatic Speech Recognition and Understanding Workshop},
      year = {2009},
      address = {Merano, Italy},
      month = {Dec. 13-17}
    }
    

  • Florian Müller, and Alfred Mertins,
    Invariant-integration method for robust feature extraction in speaker-independent speech recognition, in Proc. Interspeech 2009 , Brighton , 2009.
    File: Mueller-Mertins-Interspeech2009.pdf
    Bibtex: BibTeX
    @INPROCEEDINGS{Muller2009a,
      author = {Florian Müller and Alfred Mertins},
      title = {Invariant-integration method for robust feature extraction in speaker-independent
    	speech recognition},
      booktitle = {Proc. Interspeech 2009},
      year = {2009},
      address = {Brighton},
      month = {Sept.}
    }

  • Florian Müller, and Alfred Mertins,
    Nonlinear translation-invariant transformations for speaker-independent speech recognition, in ISCA Tutorial and Research Workshop on Non-Linear Speech Processing (NOLISP'09) , Vic, Spain , 2009.
    File: NOLISP09-MuellerMertins_01.pdf
    Bibtex: BibTeX
    @INPROCEEDINGS{Muller2009,
      author = {Florian Müller and Alfred Mertins},
      title = {Nonlinear translation-invariant transformations for speaker-independent
    	speech recognition},
      booktitle = {ISCA Tutorial and Research Workshop on Non-Linear Speech Processing (NOLISP'09)},
      year = {2009},
      address = {Vic, Spain},
      month = {Jun.}
    }
    

  • 2008

  • Sven Kabus, Florian Müller, Rafael Wiemker, and Bernd Fischer,
    Robust lung nodule growth measurement by combining registration and segmentation, in Proceedings of the First International Workshop on Pulmonary Image Analysis , New York, USA , 2008. pp. 15 -- 23.
    File: RobustLungNodule.pdf
    Bibtex: BibTeX
    @INPROCEEDINGS{Kabus2008,
      author = {Sven Kabus and Florian Müller and Rafael Wiemker and Bernd Fischer},
      title = {Robust lung nodule growth measurement by combining registration and
    	segmentation},
      booktitle = {Proceedings of the First International Workshop on Pulmonary Image
    	Analysis},
      year = {2008},
      pages = {15 -- 23},
      address = {New York, USA},
      month = {Sept.}
    }