Robust Speech Recognition of Uncertain or Missing Data
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Published By Springer Berlin Heidelberg

9783642213168, 9783642213175

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Automatic Speech Recognition Using Missing Data Techniques: Handling of Real-World Data

Robust Speech Recognition of Uncertain or Missing Data ◽

10.1007/978-3-642-21317-5_7 ◽

2011 ◽

pp. 157-185 ◽

Cited By ~ 4

Author(s):

Jort F. Gemmeke ◽

Maarten Van Segbroeck ◽

Yujun Wang ◽

Bert Cranen ◽

Hugo Van hamme

Keyword(s):

Speech Recognition ◽

Missing Data ◽

Automatic Speech Recognition ◽

Real World ◽

Real World Data ◽

World Data ◽

Missing Data Techniques

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Model-Based Approaches to Handling Uncertainty

Robust Speech Recognition of Uncertain or Missing Data ◽

10.1007/978-3-642-21317-5_5 ◽

2011 ◽

pp. 101-125 ◽

Cited By ~ 12

Author(s):

M. J. F. Gales

Keyword(s):

Model Based

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Reconstructing Noise-Corrupted Spectrographic Components for Robust Speech Recognition

Robust Speech Recognition of Uncertain or Missing Data ◽

10.1007/978-3-642-21317-5_6 ◽

2011 ◽

pp. 127-156 ◽

Cited By ~ 1

Author(s):

Bhiksha Raj ◽

Rita Singh

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition

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Variance Compensation for Recognition of Reverberant Speech with Dereverberation Preprocessing

Robust Speech Recognition of Uncertain or Missing Data ◽

10.1007/978-3-642-21317-5_9 ◽

2011 ◽

pp. 225-255 ◽

Cited By ~ 1

Author(s):

Marc Delcroix ◽

Shinji Watanabe ◽

Tomohiro Nakatani

Keyword(s):

Reverberant Speech

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Use of Missing and Unreliable Data for Audiovisual Speech Recognition

Robust Speech Recognition of Uncertain or Missing Data ◽

10.1007/978-3-642-21317-5_13 ◽

2011 ◽

pp. 345-375 ◽

Cited By ~ 5

Author(s):

Alexander Vorwerk ◽

Steffen Zeiler ◽

Dorothea Kolossa ◽

Ramón Fernandez Astudillo ◽

Dennis Lerch

Keyword(s):

Speech Recognition ◽

Audiovisual Speech ◽

Audiovisual Speech Recognition

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Evidence Modeling for Missing Data Speech Recognition Using Small Microphone Arrays

Robust Speech Recognition of Uncertain or Missing Data ◽

10.1007/978-3-642-21317-5_11 ◽

2011 ◽

pp. 293-318

Author(s):

Marco Kühne ◽

Roberto Togneri ◽

Sven Nordholm

Keyword(s):

Speech Recognition ◽

Missing Data ◽

Microphone Arrays

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Uncertainty Decoding and Conditional Bayesian Estimation

Robust Speech Recognition of Uncertain or Missing Data ◽

10.1007/978-3-642-21317-5_2 ◽

2011 ◽

pp. 9-33 ◽

Cited By ~ 5

Author(s):

Reinhold Haeb-Umbach

Keyword(s):

Bayesian Estimation

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Conditional Bayesian Estimation Employing a Phase-Sensitive Observation Model for Noise Robust Speech Recognition

Robust Speech Recognition of Uncertain or Missing Data ◽

10.1007/978-3-642-21317-5_8 ◽

2011 ◽

pp. 187-221 ◽

Cited By ~ 1

Author(s):

Volker Leutnant ◽

Reinhold Haeb-Umbach

Keyword(s):

Speech Recognition ◽

Bayesian Estimation ◽

Robust Speech Recognition ◽

Observation Model ◽

Noise Robust Speech Recognition ◽

Phase Sensitive ◽

Noise Robust

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Uncertainty Propagation

Robust Speech Recognition of Uncertain or Missing Data ◽

10.1007/978-3-642-21317-5_3 ◽

2011 ◽

pp. 35-64 ◽

Cited By ~ 6

Author(s):

Ramón Fernandez Astudillo ◽

Dorothea Kolossa

Keyword(s):

Uncertainty Propagation

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Front-End, Back-End, and Hybrid Techniques for Noise-Robust Speech Recognition

Robust Speech Recognition of Uncertain or Missing Data ◽

10.1007/978-3-642-21317-5_4 ◽

2011 ◽

pp. 67-99 ◽

Cited By ~ 19

Author(s):

Li Deng

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Hybrid Techniques ◽

Front End ◽

Noise Robust Speech Recognition ◽

Noise Robust

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Robust Speech Recognition of Uncertain or Missing DataLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Automatic Speech Recognition Using Missing Data Techniques: Handling of Real-World Data

Model-Based Approaches to Handling Uncertainty

Reconstructing Noise-Corrupted Spectrographic Components for Robust Speech Recognition

Variance Compensation for Recognition of Reverberant Speech with Dereverberation Preprocessing

Use of Missing and Unreliable Data for Audiovisual Speech Recognition

Evidence Modeling for Missing Data Speech Recognition Using Small Microphone Arrays

Uncertainty Decoding and Conditional Bayesian Estimation

Conditional Bayesian Estimation Employing a Phase-Sensitive Observation Model for Noise Robust Speech Recognition

Uncertainty Propagation

Front-End, Back-End, and Hybrid Techniques for Noise-Robust Speech Recognition

Robust Speech Recognition of Uncertain or Missing Data
Latest Publications