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» Introduction to speech recognition using neural networks
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NCI
2004
132views Neural Networks» more  NCI 2004»
13 years 10 months ago
A comparison between spiking and differentiable recurrent neural networks on spoken digit recognition
In this paper we demonstrate that Long Short-Term Memory (LSTM) is a differentiable recurrent neural net (RNN) capable of robustly categorizing timewarped speech data. We measure ...
Alex Graves, Nicole Beringer, Jürgen Schmidhu...
HICSS
2005
IEEE
132views Biometrics» more  HICSS 2005»
14 years 2 months ago
Web Browser Control Using EMG Based Sub Vocal Speech Recognition
—Subvocal electromyogram (EMG) signal classification is used to control a modified web browser interface. Recorded surface signals from the larynx and sublingual areas below the ...
Chuck Jorgensen, Kim Binsted
MICAI
2000
Springer
14 years 14 days ago
Verification of Correct Pronunciation of Mexican Spanish Using Speech Technology
This paper presents a new method for the verification of the correct pronunciation of spoken words. This process is based on speech recognition technology. It can be particularly ...
Ingrid Kirschning, Nancy Aguas
TNN
2010
227views Management» more  TNN 2010»
13 years 3 months ago
Self-Organizing MultiLayer Perceptron
Abstract--A set of Artificial Neural Network (ANN) based methods for the design of an effective system of speech recognition of numerals of Assamese language captured under varied ...
B. Gas
ICANN
2005
Springer
14 years 2 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...