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» Universal background model based speech recognition
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ICPR
2008
IEEE
15 years 11 months ago
Multiple classifier applied on predicting microsleep from speech
The aim of this study is to apply a state-of-the-art speech emotion recognition engine on the detection of microsleep endangered sleepiness states. Current approaches in speech em...
Jarek Krajewski, Anton Batliner, Rainer Wieland
ICASSP
2011
IEEE
14 years 1 months ago
Non-negative matrix deconvolution in noise robust speech recognition
High noise robustness has been achieved in speech recognition by using sparse exemplar-based methods with spectrogram windows spanning up to 300 ms. A downside is that a large exe...
Antti Hurmalainen, Jort F. Gemmeke, Tuomas Virtane...
BIOADIT
2004
Springer
15 years 1 months ago
Biologically Plausible Speech Recognition with LSTM Neural Nets
Abstract. Long Short-Term Memory (LSTM) recurrent neural networks (RNNs) are local in space and time and closely related to a biological model of memory in the prefrontal cortex. N...
Alex Graves, Douglas Eck, Nicole Beringer, Jü...
ACL
2001
14 years 11 months ago
Practical Issues in Compiling Typed Unification Grammars for Speech Recognition
Current alternatives for language modeling are statistical techniques based on large amounts of training data, and hand-crafted context-free or finite-state grammars that are diff...
John Dowding, Beth Ann Hockey, Jean Mark Gawron, C...
ICASSP
2009
IEEE
15 years 4 months ago
Emotion recognition from speech: Putting ASR in the loop
This paper investigates the automatic recognition of emotion from spoken words by vector space modeling vs. string kernels which have not been investigated in this respect, yet. A...
Björn Schuller, Anton Batliner, Stefan Steidl...