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» Bayesian sensing hidden Markov models for speech recognition
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ICANN
2005
Springer
15 years 11 months ago
Classifying Unprompted Speech by Retraining LSTM Nets
Abstract. We apply Long Short-Term Memory (LSTM) recurrent neural networks to a large corpus of unprompted speech- the German part of the VERBMOBIL corpus. Training first on a fra...
Nicole Beringer, Alex Graves, Florian Schiel, J&uu...
ICASSP
2010
IEEE
15 years 4 months ago
Model-based dereverberation in the logmelspec domain for robust distant-talking speech recognition
The REMOS (REverberation MOdeling for Speech recognition) concept for reverberation-robust distant-talking speech recognition, introduced in [1] for melspectral features, is exten...
Armin Sehr, Roland Maas, Walter Kellermann
ICMI
2003
Springer
166views Biometrics» more  ICMI 2003»
15 years 11 months ago
Georgia tech gesture toolkit: supporting experiments in gesture recognition
Gesture recognition is becoming a more common interaction tool in the fields of ubiquitous and wearable computing. Designing a system to perform gesture recognition, however, can...
Tracy L. Westeyn, Helene Brashear, Amin Atrash, Th...
ICMI
2003
Springer
99views Biometrics» more  ICMI 2003»
15 years 11 months ago
Selective perception policies for guiding sensing and computation in multimodal systems: a comparative analysis
Intensive computations required for sensing and processing perceptual information can impose significant burdens on personal computer systems. We explore several policies for sel...
Nuria Oliver, Eric Horvitz
TASLP
2002
96views more  TASLP 2002»
15 years 5 months ago
MAP speaker adaptation of state duration distributions for speech recognition
This paper presents a framework for maximum a posteriori (MAP) speaker adaptation of state duration distributions in hidden Markov models (HMM). Four key issues of MAP estimation, ...
Néstor Becerra Yoma, Jorge Silva Sán...