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» Epoch Extraction From Speech Signals
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KES
2006
Springer
13 years 7 months ago
Spiking Neural Network Based Classification of Task-Evoked EEG Signals
This paper presents an improved technique to detect evoked potentials in continuous EEG recordings using a spiking neural network. Human EEG signals recorded during spell checking,...
Piyush Goel, Honghai Liu, David J. Brown, Avijit D...
BIOSTEC
2008
184views Healthcare» more  BIOSTEC 2008»
13 years 8 months ago
Automatic Speech Recognition Based on Electromyographic Biosignals
This paper presents our studies of automatic speech recognition based on electromyographic biosignals captured from the articulatory muscles in the face using surface electrodes. W...
Szu-Chen Stan Jou, Tanja Schultz
ICASSP
2010
IEEE
13 years 7 months ago
Comparison of modulation features for phoneme recognition
In this paper, we compare several approaches for the extraction of modulation frequency features from speech signal using a phoneme recognition system. The general framework in th...
Sriram Ganapathy, Samuel Thomas, Hynek Hermansky
ICASSP
2007
IEEE
14 years 1 months ago
Eigentongue Feature Extraction for an Ultrasound-Based Silent Speech Interface
The article compares two approaches to the description of ultrasound vocal tract images for application in a “silent speech interface,” one based on tongue contour modeling, a...
Thomas Hueber, Guido Aversano, Gérard Choll...
SPEECH
2002
113views more  SPEECH 2002»
13 years 7 months ago
Estimation of the signal-to-noise ratio with amplitude modulation spectrograms
An algorithm is proposed which automatically estimates the local signalto-noise ratio (SNR) between speech and noise. The feature extraction stage of the algorithm is motivated by...
Jürgen Tchorz, Birger Kollmeier