8 search results - page 1 / 2 » Speech Recognition with Missing Data using Recurrent Neural ... |
NIPS
2001
14 years 7 days ago
2001
In the `missing data' approach to improving the robustness of automatic speech recognition to added noise, an initial process identifies spectraltemporal regions which are do...
ICANN
2005
Springer
14 years 4 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...
NCI
2004
14 years 7 days 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 ...
ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
We propose a novel multi-stream framework for continuous conversational speech recognition which employs bidirectional Long Short-Term Memory (BLSTM) networks for phoneme predicti...
INTERSPEECH
2010
13 years 5 months ago
2010
A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results indicate that it is possible to obtain around 50% reduct...