| 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 |