Exemplar-based recognition of speech in highly variable noise
Antti Hurmalainen, Katariina Mahkonen, Jort F. Gemmeke, Tuomas Virtanen

CHiME challenge: approaches to robustness using beamforming and uncertainty-of-observation techniques
Dorothea Kolossa, Ramón Fernandez Astudillo, Alberto Abad, Steffen Zeiler, Rahim Saeidi, Pejman Mowlaee, João Paulo da Silva Neto, Rainer Martin

Speech recognition in the presence of highly non-stationary noise based on spatial, spectral and temporal speech/noise modeling combined with dynamic variance adaptation
Marc Delcroix, Keisuke Kinoshita, Tomohiro Nakatani, Shoko Araki, Atsunori Ogawa, Takaaki Hori, Shinji Watanabe, Masakiyo Fujimoto, Takuya Yoshioka, Takanobu Oba, Yotaro Kubo, Mehrez Souden, Seong-Jun Hahm, Atsushi Nakamura

Robust automatic speech recognition through on-line semi blind source extraction
Francesco Nesta, Marco Matassoni

The Munich 2011 CHiME challenge contribution: NMF-BLSTM speech enhancement and recognition for reverberated multisource environments
Felix Weninger, Jürgen Geiger, Martin Wöllmer, Björn Schuller, Gerhard Rigoll

GMM-based classification from noisy features
Alexey Ozerov, Mathieu Lagrange, Emmanuel Vincent

Sound event detection in multisource environments using source separation
Toni Heittola, Annamaria Mesaros, Tuomas Virtanen, Antti Eronen

A two-channel acoustic front-end for robust automatic speech recognition in noisy and reverberant environments
Roland Maas, Andreas Schwarz, Yuanhang Zheng, Klaus Reindl, Stefan Meier, Armin Sehr, Walter Kellermann

CHiME data separation based on target signal cancellation and noise masking
Zbynĕk Koldovský, Jiří Málek, Jan Nouza, Miroslav Balík

Designing multimodal acoustic environment corpus to improve speech interaction in living room
Kenichi Shibata, Kengo Ikeya, Yuki Deguchi, Yoichi Takebayashi, Shigeyoshi Kitazawa, Shinya Kiriyama

Exemplar-based speech enhancement and its application to noise-robust automatic speech recognition
Jort F. Gemmeke, Tuomas Virtanen, Antti Hurmalainen

Mask estimation and sparse imputation for missing data speech recognition in multisource reverberant environments
Heikki Kallasjoki, Sami Keronen, Guy J. Brown, Jort F. Gemmeke, Ulpu Remes, Kalle J. Palomäki

Multi-stage collaborative microphone array beamforming in presence of nonstationary interfering signals
Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Albenzio Cirillo, Mauro Falcone, Aurelio Uncini

Recent advances in fragment-based speech recognition in reverberant multisource environments
Ning Ma, Jon Barker, Heidi Christensen, Phil Green

Robust speech recognition in multi-source noise environments using convolutive non-negative matrix factorization
Ravichander Vipperla, Simon Bozonnet, Dong Wang, Nicholas Evans

Source separation using the spectral flatness measure
Rolf Bardeli

Using the FASST source separation toolbox for noise robust speech recognition
Alexey Ozerov, Emmanuel Vincent