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» Introduction to speech recognition using neural networks
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SBRN
2002
IEEE
14 years 1 months ago
Using a Chain of LVQ Neural Networks for Pattern Recognition of EEG Signals Related to Intermittent Photic-Stimulation
This work reports the use of neural networks for pattern recognition in electroencephalographic signals related to intermittent photic-stimulation. Due to the low signal/noise rat...
Mauricio Kugler, Heitor Silvério Lopes
ICASSP
2011
IEEE
13 years 18 days ago
Localization of non-linguistic events in spontaneous speech by Non-Negative Matrix Factorization and Long Short-Term Memory
Features generated by Non-Negative Matrix Factorization (NMF) have successfully been introduced into robust speech processing, including noise-robust speech recognition and detect...
Felix Weninger, Björn Schuller, Martin Wö...
BIOADIT
2004
Springer
14 years 19 days 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...
ANLP
1997
84views more  ANLP 1997»
13 years 10 months ago
High Performance Segmentation of Spontaneous Speech Using Part of Speech and Trigger Word Information
We describe and experimentally evaluate an efficient method for automatically determining small clause boundaries in spontaneous speech. Our method applies an artificial neural ne...
Marsal Gavaldà, Klaus Zechner, Gregory Aist
IMCSIT
2010
13 years 6 months ago
Emotional Speech Analysis using Artificial Neural Networks
In the present text, we deal with the problem of classification of speech emotion. Problems of speech processing are addressed through the use of artificial neural networks (ANN). ...
Jana Tucková, Martin Sramka