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ORCIDGünther Ruske
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2000 – 2009
- 2009
[c52]Stefan Schwärzler, Günther Ruske, Frank Wallhoff
, Gerhard Rigoll:
Using Graphical Models for an Intelligent Mixed-Initiative Dialog Management System. HCI (9) 2009: 201-209- [c51]Stefan Schwärzler, Joachim Schenk, Günther Ruske, Frank Wallhoff:
A multi-agent framework for a hybrid dialog management system. ICME 2009: 958-961 - 2008
- [c50]Joachim Schenk, Stefan Schwärzler, Günther Ruske, Gerhard Rigoll:
Novel VQ Designs for Discrete HMM On-Line Handwritten Whiteboard Note Recognition. DAGM-Symposium 2008: 234-243 - [c49]Björn W. Schuller, Martin Wöllmer, Tobias Moosmayr, Günther Ruske, Gerhard Rigoll:
Switching Linear Dynamic Models for Noise Robust In-Car Speech Recognition. DAGM-Symposium 2008: 244-253 - [c48]Stefan Schwärzler, Joachim Schenk, Frank Wallhoff, Günther Ruske:
Natural Language Understanding by Combining Statistical Methods and Extended Context-Free Grammars. DAGM-Symposium 2008: 254-263 - [c47]Stefan Schwärzler, Jürgen T. Geiger, Joachim Schenk, Marc A. Al-Hames, Benedikt Hörnler, Günther Ruske, Gerhard Rigoll:
Combining statistical and syntactical systems for spoken language understanding with graphical models. INTERSPEECH 2008: 1590-1593 - 2006
- [c46]Tibor Fábián, Günther Ruske:
Comparing confidence-guided and adaptive dynamic pruning techniques for speech recognition. EUSIPCO 2006: 1-5 - 2005
- [c45]Matthias Thomae, Tibor Fábián, Robert Lieb, Günther Ruske:
Lexical out-of-vocabulary models for one-stage speech interpretation. INTERSPEECH 2005: 441-444 - [c44]Tibor Fábián, Robert Lieb, Günther Ruske, Matthias Thomae:
A confidence-guided dynamic pruning approach - utilization of confidence measurement in speech recognition. INTERSPEECH 2005: 585-588 - [c43]Matthias Thomae, Tibor Fábián, Robert Lieb, Günther Ruske:
Hierarchical language models for one-stage speech interpretation. INTERSPEECH 2005: 3425-3428 - [c42]Robert Lieb, Matthias Thomae, Günther Ruske, Daniel Bobbert, Frank Althoff:
A flexible and integrated interface between speech recognition, speech interpretation and dialog management. INTERSPEECH 2005: 3445-3448 - 2004
- [c41]Robert Lieb, Tibor Fábián, Günther Ruske, Matthias Thomae:
Estimation of semantic confidences on lattice hierarchies. INTERSPEECH 2004: 569-572 - 2003
- [c40]Tibor Fábián, Robert Lieb, Günther Ruske, Matthias Thomae:
Impact of word graph density on the quality of posterior probability based confidence measures. INTERSPEECH 2003: 917-920 - [c39]Chng Chin Soon, Bernt Andrassy, Josef G. Bauer, Günther Ruske:
Environment adaptive control of noise reduction parameters for improved robustness of ASR. INTERSPEECH 2003: 2149-2152 - 2002
- [c38]Robert Faltlhauser, Günther Ruske, Matthias Thomae:
Towards the question: why has speaking rate such an impact on speech recognition performance? INTERSPEECH 2002: 2429-2432 - 2001
- [c37]Robert Faltlhauser, Günther Ruske:
Improving speaker recognition using phonetically structured Gaussian mixture models. INTERSPEECH 2001: 751-754 - [c36]Tibor Fábián, Thilo Pfau, Günther Ruske:
Analysis of n-best output hypotheses for fast speech in large vocabulary continuous speech recognition. INTERSPEECH 2001: 2535-2538 - 2000
- [c35]Robert Faltlhauser, Thilo Pfau, Günther Ruske:
On-line speaking rate estimation using Gaussian mixture models. ICASSP 2000: 1355-1358 - [c34]Matthias Thomae, Günther Ruske, Thilo Pfau:
A new approach to discriminative feature extraction using model transformation. ICASSP 2000: 1615-1618 - [c33]Karl Weilhammer, Günther Ruske:
Placing structuring elements in a word sequence for generating new statistical language models. INTERSPEECH 2000: 210-213 - [c32]Robert Faltlhauser, Thilo Pfau, Günther Ruske:
On the use of speaking rate as a generalized feature to improve decision trees. INTERSPEECH 2000: 317-320 - [c31]Thilo Pfau, Robert Faltlhauser, Günther Ruske:
A combination of speaker normalization and speech rate normalization for automatic speech recognition. INTERSPEECH 2000: 362-365 - [c30]R. Falthauser, Thilo Pfau, Günther Ruske:
On- line Speaking Rate Estimation using a GMM/ NN Approach. KONVENS 2000: 101-106
1990 – 1999
- 1999
- [c29]Günther Ruske, Ki Yong Lee:
Speech recognition and enhancement by a nonstationary AR HMM with gain adaptation under unknown noise. ICASSP 1999: 441-444 - [c28]Thilo Pfau, Robert Faltlhauser, Günther Ruske:
Speaker normalization and pronunciation variant modeling: helpful methods for improving recognition of fast speech. EUROSPEECH 1999: 299-302 - [c27]Robert Faltlhauser, Thilo Pfau, Günther Ruske:
Creating hidden Markov models for fast speech by optimized clustering. EUROSPEECH 1999: 407-410 - 1998
- [c26]Thilo Pfau, Günther Ruske:
Estimating the speaking rate by vowel detection. ICASSP 1998: 945-948 - [c25]Thilo Pfau, Günther Ruske:
Creating hidden Markov models for fast speech. ICSLP 1998 - [c24]Günther Ruske, Robert Faltlhauser, Thilo Pfau:
Extended linear discriminant analysis (ELDA) for speech recognition. ICSLP 1998 - 1997
- [c23]Martin Holzapfel, Günther Ruske, Harald Höge:
Failure simulation for a phoneme HMM based keyword spotter. ICASSP 1997: 911-914 - [c22]Jochen Junkawitsch, Günther Ruske, Harald Höge:
Efficient methods for detecting keywords in continuous speech. EUROSPEECH 1997: 259-262 - [c21]Thilo Pfau, Manfred Beham, Wolfgang Reichl, Günther Ruske:
Creating large subword units for speech recognition. EUROSPEECH 1997: 1191-1194 - 1996
- [c20]Franz Wolfertstetter, Günther Ruske:
Discriminative training of stochastic Markov graphs for speech recognition. ICASSP 1996: 581-584 - [c19]Jochen Junkawitsch, L. Neubauer, Harald Höge, Günther Ruske:
A new keyword spotting algorithm with pre-calculated optimal thresholds. ICSLP 1996: 2067-2070 - 1995
- [j7]Franz Wolfertstetter, Günther Ruske, Walter Weigel:
Modellstrukturen für die automatische Spracherkennung. Künstliche Intell. 9(3): 10-17 (1995) - [c18]Manfred Beham, Günther Ruske:
Adaptiver stochastischer Sprache/Pause-Detektor. DAGM-Symposium 1995: 60-67 - [c17]Franz Wolfertstetter, Günther Ruske:
Structured Markov models for speech recognition. ICASSP 1995: 544-547 - [c16]Wolfgang Reichl, Günther Ruske:
A hybrid RBF-HMM system for continuous speech recognition. ICASSP 1995: 3335-3338 - [c15]Wolfgang Reichl, Günther Ruske:
Discriminative training for continuous speech recognition. EUROSPEECH 1995: 537-540 - [c14]Wolfgang Reichl, S. Harengel, Franz Wolfertstetter, Günther Ruske:
Neural networks for nonlinear discriminant analysis in continuous speech recognition. EUROSPEECH 1995: 2163-2166 - 1994
- [j6]Günther Ruske:
Methoden der Automatischen Spracherkennung. Informationstechnik Tech. Inform. 36(2): 31-39 (1994) - [c13]Wolfgang Reichl, Peter Caspary, Günther Ruske:
A new model-discriminant training algorithm for hybrid NN-HMM systems. ICASSP (2) 1994: 677-680 - [c12]Bernd Plannerer, Tobias Einsele, Martin Beham, Günther Ruske:
A continuous speech recognition system integrating additional acoustic knowledge sources in a data-driven beam search algorithm. ICSLP 1994: 17-20 - [c11]Franz Wolfertstetter, Günther Ruske:
Discriminative state-weighting in hidden Markov models. ICSLP 1994: 219-222 - 1993
- [c10]Bernd Plannerer, Günther Ruske:
A continuous speech recognition system using phonotactic constraints. EUROSPEECH 1993: 859-862 - [c9]Wolfgang Reichl, Günther Ruske:
Syllable segmentation of continuous speech with artificial neural networks. EUROSPEECH 1993: 1771-1774 - 1992
- [c8]Bernd Plannerer, Günther Ruske:
Recognition of demisyllable based units using semicontinuous hidden Markov models. ICASSP 1992: 581-584 - [c7]Günther Ruske, Bernd Plannerer, Tanja Schultz:
Stochastic modeling of syllable-based units for continuous speech recognition. ICSLP 1992: 1503-1506 - 1990
- [j5]Wolfgang Böhm, Ralf Hartmann, Günther Ruske:
Comparison of different facsimile data compression methods for text, graphics and halftone documents. Eur. Trans. Telecommun. 1(1): 59-65 (1990)
1980 – 1989
- 1989
- [j4]Günther Ruske:
Gehörbezogene automatische Spracherkennung / Automatic Speech Recognition Based on Human Hearing. it Inf. Technol. 31(5): 316-323 (1989) - [c6]Walter Weigel, Günther Ruske:
Continuous speech recognition using syllabic segmentation and demisyllable hidden Markov models. EUROSPEECH 1989: 1017-1020 - 1988
- [j3]Philippe Morin, Jean-Paul Haton, Jean-Marie Pierrel, Günther Ruske, Walter Weigel:
A Multilingual Approach to Task-Oriented Man-Machine Dialogue by voice. Int. J. Pattern Recognit. Artif. Intell. 2(3): 573-588 (1988) - 1987
- [c5]Günther Ruske:
Einsatz von Aussprachemodellen für Wörter in einem silbenorientierten Spracherkennungssystem. DAGM-Symposium 1987: 96-100 - 1986
- [j2]Günther Ruske, Walter Weigel:
Automatische Erkennung fließender Sprache auf der Basis von Halbsilben. it Inf. Technol. 28(4): 227-235 (1986) - [j1]Rainer Seck, Günther Ruske:
Structure of German syllable initial and final consonant clusters based on articulatory features. Speech Commun. 5(3-4): 347-354 (1986) - 1982
- [c4]Günther Ruske:
Automatic recognition of syllabic speech segments using spectral and temporal features. ICASSP 1982: 550-553 - 1981
- [c3]Günther Ruske, Thomas Schotola:
The efficiency of demisyllable segmentation in the recognition of spoken words. ICASSP 1981: 971-974
1970 – 1979
- 1978
- [c2]Günther Ruske, Thomas Schotola:
An approach to speech recognition using syllabic decision units. ICASSP 1978: 722-725 - 1976
- [c1]Günther Ruske:
Real-time information reduction in digital sound spectograms of speech. ICASSP 1976: 343-346
Coauthor Index
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