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16 Publications


2015 | Conference Paper | LibreCat-ID: 11813
Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions
J. Heymann, R. Haeb-Umbach, P. Golik, R. Schlueter, in: Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference On, 2015, pp. 5053–5057.
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2014 | Journal Article | LibreCat-ID: 11861
A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech
V. Leutnant, A. Krueger, R. Haeb-Umbach, IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (2014) 95–109.
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2014 | Journal Article | LibreCat-ID: 11867
An Overview of Noise-Robust Automatic Speech Recognition
J. Li, L. Deng, Y. Gong, R. Haeb-Umbach, IEEE Transactions on Audio, Speech and Language Processing 22 (2014) 745–777.
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2013 | Conference Paper | LibreCat-ID: 11716
GMM-based significance decoding
A.H. Abdelaziz, S. Zeiler, D. Kolossa, V. Leutnant, R. Haeb-Umbach, in: Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference On, 2013, pp. 6827–6831.
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2013 | Journal Article | LibreCat-ID: 11862
Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition
V. Leutnant, A. Krueger, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 21 (2013) 1640–1652.
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2012 | Conference Paper | LibreCat-ID: 11864
A Statistical Observation Model For Noisy Reverberant Speech Features and its Application to Robust ASR
V. Leutnant, A. Krueger, R. Haeb-Umbach, in: Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference On, 2012.
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2010 | Journal Article | LibreCat-ID: 11846
Model-Based Feature Enhancement for Reverberant Speech Recognition
A. Krueger, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 18 (2010) 1692–1707.
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2009 | Journal Article | LibreCat-ID: 11937
Approaches to Iterative Speech Feature Enhancement and Recognition
S. Windmann, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 17 (2009) 974–984.
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2009 | Journal Article | LibreCat-ID: 11938
Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition
S. Windmann, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 17 (2009) 1577–1590.
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2008 | Journal Article | LibreCat-ID: 11820
A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition
V. Ion, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 16 (2008) 1047–1060.
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2006 | Conference Paper | LibreCat-ID: 11824
An Inexpensive Packet Loss Compensation Scheme for Distributed Speech Recognition Based on Soft-Features
V. Ion, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 2006, p. I.
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2006 | Journal Article | LibreCat-ID: 11825
Uncertainty decoding for distributed speech recognition over error-prone networks
V. Ion, R. Haeb-Umbach, Speech Communication 48 (2006) 1435–1446.
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2005 | Conference Paper | LibreCat-ID: 11828
A Comparison of Soft-Feature Distributed Speech Recognition with Candidate Codecs for Speech Enabled Mobile Services
V. Ion, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005), 2005, pp. 333–336.
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2004 | Conference Paper | LibreCat-ID: 11931
Robust speaker direction estimation with particle filtering
E. Warsitz, R. Haeb-Umbach, in: IEEE Workshop on Multimedia Signal Processing (MMSP 2004), 2004, pp. 367–370.
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2001 | Journal Article | LibreCat-ID: 11778
Automatic generation of phonetic regression class trees for MLLR adaptation
R. Haeb-Umbach, IEEE Transactions on Speech and Audio Processing 9 (2001) 299–302.
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2000 | Conference Paper | LibreCat-ID: 11869
LDA derived cepstral trajectory filters in adverse environmental conditions
M. Lieb, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2000), 2000, pp. II1105-II1108 vol.2.
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