Author | Session | Page | Title |
A A B C D E F G H I J K L M N O P R S T U W Y Z |
Abad, Alberto | Oral 1 | 6 | CHIME Challenge: Approaches to Robustness using Beamforming and Uncertainty-of-Observation Techniques |
Araki, Shoko | Oral 2 | 12 | Speech Recognition in the Presence of Highly Non-Stationary Noise Based on Spatial, Spectral and Temporal Speech/Noise Modeling Combined with Dynamic Variance Adaptation |
B A B C D E F G H I J K L M N O P R S T U W Y Z |
Balik, Miroslav | Poster | 47 | CHiME Data Separation Based on Target Signal Cancellation and Noise Masking |
Bardeli, Rolf | Poster | 80 | Source Separation using the Spectral Flatness Measure |
Barker, Jon | Poster | 68 | Recent Advances in Fragment-Based Speech Recognition in Reverberant Multisource Environments |
Brown, Guy J | Poster | 58 | Mask Estimation and Sparse Imputation for Missing Data Speech Recognition in Multisource Reverberant Environments |
Bozonnet, Simon | Poster | 74 | Robust Speech Recognition in Multi-Source Noise Environments using Convolutive Non-Negative Matrix Factorization |
C A B C D E F G H I J K L M N O P R S T U W Y Z |
Christensen, Heidi | Poster | 68 | Recent Advances in Fragment-Based Speech Recognition in Reverberant Multisource Environments |
Cirillo, Albenzio | Poster | 64 | Multi-layer Collaborative Microphone Array Beamforming in Presence of Nonstationary Interfering Signals |
Comminiello, Danilo | Poster | 64 | Multi-layer Collaborative Microphone Array Beamforming in Presence of Nonstationary Interfering Signals |
D A B C D E F G H I J K L M N O P R S T U W Y Z |
Deguchi, Yuki | Poster | 51 | Designing Multimodal Acoustic Environment Corpus to Improve Speech Interaction in Living Room |
Delcroix, Marc | Oral 2 | 12 | Speech Recognition in the Presence of Highly Non-Stationary Noise Based on Spatial, Spectral and Temporal Speech/Noise Modeling Combined with Dynamic Variance Adaptation |
E A B C D E F G H I J K L M N O P R S T U W Y Z |
Evans, Nicholas | Poster | 74 | Robust Speech Recognition in Multi-Source Noise Environments using Convolutive Non-Negative Matrix Factorization |
F A B C D E F G H I J K L M N O P R S T U W Y Z |
Falcone, Mauro | Poster | 64 | Multi-layer Collaborative Microphone Array Beamforming in Presence of Nonstationary Interfering Signals |
Fernandez Astudillo, Ramon | Oral 1 | 6 | CHIME Challenge: Approaches to Robustness using Beamforming and Uncertainty-of-Observation Techniques |
Fujimoto, Masakiyo | Oral 2 | 12 | Speech Recognition in the Presence of Highly Non-Stationary Noise Based on Spatial, Spectral and Temporal Speech/Noise Modeling Combined with Dynamic Variance Adaptation |
G A B C D E F G H I J K L M N O P R S T U W Y Z |
Geiger, Jürgen | Oral 2 | 24 | The Munich 2011 CHiME Challenge Contribution: NMF-BLSTM Speech Enhancement and Recognition for Reverberated Multisource Environments |
Gemmeke, Jort F. | Oral 1 | 1 | Exemplar-Based Recognition of Speech in Highly Variable Noise |
Gemmeke, Jort F. | Poster | 53 | Exemplar-Based Speech Enhancement and its Application to Noise-Robust Automatic Speech Recognition |
Gemmeke, Jort F | Poster | 58 | Mask Estimation and Sparse Imputation for Missing Data Speech Recognition in Multisource Reverberant Environments |
Green, Phil | Poster | 68 | Recent Advances in Fragment-Based Speech Recognition in Reverberant Multisource Environments |
H A B C D E F G H I J K L M N O P R S T U W Y Z |
Hahm, Seong-Jun | Oral 2 | 12 | Speech Recognition in the Presence of Highly Non-Stationary Noise Based on Spatial, Spectral and Temporal Speech/Noise Modeling Combined with Dynamic Variance Adaptation |
Hori, Takaaki | Oral 2 | 12 | Speech Recognition in the Presence of Highly Non-Stationary Noise Based on Spatial, Spectral and Temporal Speech/Noise Modeling Combined with Dynamic Variance Adaptation |
Heittola, Toni | Oral 3 | 36 | Sound Event Detection in Multisource Environments Using Source Separation |
Hurmalainen, Antti | Oral 1 | 1 | Exemplar-Based Recognition of Speech in Highly Variable Noise |
Hurmalainen, Antti | Poster | 53 | Exemplar-Based Speech Enhancement and its Application to Noise-Robust Automatic Speech Recognition |
I A B C D E F G H I J K L M N O P R S T U W Y Z |
Ikeya, Kengo | Poster | 51 | Designing Multimodal Acoustic Environment Corpus to Improve Speech Interaction in Living Room |
J A B C D E F G H I J K L M N O P R S T U W Y Z |
K A B C D E F G H I J K L M N O P R S T U W Y Z |
Kallasjoki, Heikki | Poster | 58 | Mask Estimation and Sparse Imputation for Missing Data Speech Recognition in Multisource Reverberant Environments |
Kellermann, Walter | Poster | 41 | A Two-Channel Acoustic Front-End for Robust Automatic Speech Recognition in Noisy and Reverberant Environments |
Keronen, Sami | Poster | 58 | Mask Estimation and Sparse Imputation for Missing Data Speech Recognition in Multisource Reverberant Environments |
Kinoshita, Keisuke | Oral 2 | 12 | Speech Recognition in the Presence of Highly Non-Stationary Noise Based on Spatial, Spectral and Temporal Speech/Noise Modeling Combined with Dynamic Variance Adaptation |
Kiriyama, Shinya | Poster | 51 | Designing Multimodal Acoustic Environment Corpus to Improve Speech Interaction in Living Room |
Kitazawa, Shigeyoshi | Poster | 51 | Designing Multimodal Acoustic Environment Corpus to Improve Speech Interaction in Living Room |
Koldovsky, Zbynek | Poster | 47 | CHiME Data Separation Based on Target Signal Cancellation and Noise Masking |
Kolossa, Dorothea | Oral 1 | 6 | CHIME Challenge: Approaches to Robustness using Beamforming and Uncertainty-of-Observation Techniques |
Kubo, Yotaro | Oral 2 | 12 | Speech Recognition in the Presence of Highly Non-Stationary Noise Based on Spatial, Spectral and Temporal Speech/Noise Modeling Combined with Dynamic Variance Adaptation |
L A B C D E F G H I J K L M N O P R S T U W Y Z |
Lagrange, Mathieu | Oral 3 | 30 | GMM-Based Classification from Noisy Features |
M A B C D E F G H I J K L M N O P R S T U W Y Z |
Ma, Ning | Poster | 68 | Recent Advances in Fragment-Based Speech Recognition in Reverberant Multisource Environments |
Maas, Roland | Poster | 41 | A Two-Channel Acoustic Front-End for Robust Automatic Speech Recognition in Noisy and Reverberant Environments |
Mahkonen, Katariina | Oral 1 | 1 | Exemplar-Based Recognition of Speech in Highly Variable Noise |
Malek, Jiri | Poster | 47 | CHiME Data Separation Based on Target Signal Cancellation and Noise Masking |
Matassoni, Marco | Oral 2 | 18 | Robust Automatic Speech Recognition through On-line Semi-Blind Source Extraction |
Martin, Rainer | Oral 1 | 6 | CHIME Challenge: Approaches to Robustness using Beamforming and Uncertainty-of-Observation Techniques |
Meier, Stefan | Poster | 41 | A Two-Channel Acoustic Front-End for Robust Automatic Speech Recognition in Noisy and Reverberant Environments |
Mesaros, Annamaria | Oral 3 | 36 | Sound Event Detection in Multisource Environments Using Source Separation |
Mowlaee, Pejman | Oral 1 | 6 | CHIME Challenge: Approaches to Robustness using Beamforming and Uncertainty-of-Observation Techniques |
N A B C D E F G H I J K L M N O P R S T U W Y Z |
Nakamura, Atsushi | Oral 2 | 12 | Speech Recognition in the Presence of Highly Non-Stationary Noise Based on Spatial, Spectral and Temporal Speech/Noise Modeling Combined with Dynamic Variance Adaptation |
Nakatani, Tomohiro | Oral 2 | 12 | Speech Recognition in the Presence of Highly Non-Stationary Noise Based on Spatial, Spectral and Temporal Speech/Noise Modeling Combined with Dynamic Variance Adaptation |
Nesta, Francesco | Oral 2 | 18 | Robust Automatic Speech Recognition through On-line Semi-Blind Source Extraction |
Nouza, Jan | Poster | 47 | CHiME Data Separation Based on Target Signal Cancellation and Noise Masking |
O A B C D E F G H I J K L M N O P R S T U W Y Z |
Oba, Takanobu | Oral 2 | 12 | Speech Recognition in the Presence of Highly Non-Stationary Noise Based on Spatial, Spectral and Temporal Speech/Noise Modeling Combined with Dynamic Variance Adaptation |
Ogawa, Atsunori | Oral 2 | 12 | Speech Recognition in the Presence of Highly Non-Stationary Noise Based on Spatial, Spectral and Temporal Speech/Noise Modeling Combined with Dynamic Variance Adaptation |
Ozerov, Alexey | Oral 3 | 30 | GMM-Based Classification from Noisy Features |
Ozerov, Alexey | Poster | 86 | Using the FASST Source Separation Toolbox for Noise Robust Speech Recognition |
P A B C D E F G H I J K L M N O P R S T U W Y Z |
Palomäki, Kalle J | Poster | 58 | Mask Estimation and Sparse Imputation for Missing Data Speech Recognition in Multisource Reverberant Environments |
Parisi, Raffaele | Poster | 64 | Multi-layer Collaborative Microphone Array Beamforming in Presence of Nonstationary Interfering Signals |
Paulo da Silva Neto, Joao | Oral 1 | 6 | CHIME Challenge: Approaches to Robustness using Beamforming and Uncertainty-of-Observation Techniques |
Q A B C D E F G H I J K L M N O P R S T U W Y Z |
R A B C D E F G H I J K L M N O P R S T U W Y Z |
Reindl, Klaus | Poster | 41 | A Two-Channel Acoustic Front-End for Robust Automatic Speech Recognition in Noisy and Reverberant Environments |
Remes, Ulpa | Poster | 58 | Mask Estimation and Sparse Imputation for Missing Data Speech Recognition in Multisource Reverberant Environments |
Rigoll, Gerhard | Oral 2 | 24 | The Munich 2011 CHiME Challenge Contribution: NMF-BLSTM Speech Enhancement and Recognition for Reverberated Multisource Environments |
S A B C D E F G H I J K L M N O P R S T U W Y Z |
Saeidi, Rahim | Oral 1 | 6 | CHIME Challenge: Approaches to Robustness using Beamforming and Uncertainty-of-Observation Techniques |
Scarpiniti, Michele | Poster | 64 | Multi-layer Collaborative Microphone Array Beamforming in Presence of Nonstationary Interfering Signals |
Schuller, Björn | Oral 2 | 24 | The Munich 2011 CHiME Challenge Contribution: NMF-BLSTM Speech Enhancement and Recognition for Reverberated Multisource Environments |
Schwarz, Andreas | Poster | 41 | A Two-Channel Acoustic Front-End for Robust Automatic Speech Recognition in Noisy and Reverberant Environments |
Sehr, Armin | Poster | 41 | A Two-Channel Acoustic Front-End for Robust Automatic Speech Recognition in Noisy and Reverberant Environments |
Shibata, Kenichi | Poster | 51 | Designing Multimodal Acoustic Environment Corpus to Improve Speech Interaction in Living Room |
Souden, Mehrez | Oral 2 | 12 | Speech Recognition in the Presence of Highly Non-Stationary Noise Based on Spatial, Spectral and Temporal Speech/Noise Modeling Combined with Dynamic Variance Adaptation |
T A B C D E F G H I J K L M N O P R S T U W Y Z |
Takebayashi, Yoichi | Poster | 51 | Designing Multimodal Acoustic Environment Corpus to Improve Speech Interaction in Living Room |
U A B C D E F G H I J K L M N O P R S T U W Y Z |
Uncini, Aurelio | Poster | 64 | Multi-layer Collaborative Microphone Array Beamforming in Presence of Nonstationary Interfering Signals |
V A B C D E F G H I J K L M N O P R S T U W Y Z |
Vincent, Emmanuel | Oral 3 | 30 | GMM-Based Classification from Noisy Features |
Vincent, Emmanuel | Poster | 86 | Using the FASST Source Separation Toolbox for Noise Robust Speech Recognition |
Virtanen, Tuomas | Oral 1 | 1 | Exemplar-Based Recognition of Speech in Highly Variable Noise |
Virtanen, Tuomas | Oral 3 | 36 | Sound Event Detection in Multisource Environments Using Source Separation |
Virtanen, Tuomas | Poster | 53 | Exemplar-Based Speech Enhancement and its Application to Noise-Robust Automatic Speech Recognition |
Vipperla, Ravichander | Poster | 74 | Robust Speech Recognition in Multi-Source Noise Environments using Convolutive Non-Negative Matrix Factorization |
W A B C D E F G H I J K L M N O P R S T U W Y Z |
Wang, Dong | Poster | 74 | Robust Speech Recognition in Multi-Source Noise Environments using Convolutive Non-Negative Matrix Factorization |
Watanabe, Shinji | Oral 2 | 12 | Speech Recognition in the Presence of Highly Non-Stationary Noise Based on Spatial, Spectral and Temporal Speech/Noise Modeling Combined with Dynamic Variance Adaptation |
Weninger, Felix | Oral 2 | 24 | The Munich 2011 CHiME Challenge Contribution: NMF-BLSTM Speech Enhancement and Recognition for Reverberated Multisource Environments |
Wöllmer, Martin | Oral 2 | 24 | The Munich 2011 CHiME Challenge Contribution: NMF-BLSTM Speech Enhancement and Recognition for Reverberated Multisource Environments |
X A B C D E F G H I J K L M N O P R S T U W Y Z |
Y A B C D E F G H I J K L M N O P R S T U W Y Z |
Yoshioka, Takuya | Oral 2 | 12 | Speech Recognition in the Presence of Highly Non-Stationary Noise Based on Spatial, Spectral and Temporal Speech/Noise Modeling Combined with Dynamic Variance Adaptation |
Z A B C D E F G H I J K L M N O P R S T U W Y Z |
Zeiler, Steffen | Oral 1 | 6 | CHIME Challenge: Approaches to Robustness using Beamforming and Uncertainty-of-Observation Techniques |
Zheng, Yuanhang | Poster | 41 | A Two-Channel Acoustic Front-End for Robust Automatic Speech Recognition in Noisy and Reverberant Environments |