3 search results - page 1 / 1 » Biologically Plausible Speech Recognition with LSTM Neural N... |
BIOADIT
2004
Springer
14 years 8 days ago
2004
Springer
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...
NCI
2004
13 years 10 months ago
2004
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 ...
ICANN
2005
Springer
14 years 2 months ago
2005
Springer
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...