8 search results - page 1 / 2 » Speech Recognition with Missing Data using Recurrent Neural ... |
NIPS
2001
13 years 6 months 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
13 years 10 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
13 years 6 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 ...
ICASSP
2011
IEEE
12 years 9 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 2 days 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...