3 search results - page 1 / 1 » Dirichlet Mixture Models of neural net posteriors for HMM-ba... |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
In this paper, we present a novel technique for modeling the posterior probability estimates obtained from a neural network directly in the HMM framework using the Dirichlet Mixtu...
BIOADIT
2004
Springer
13 years 9 months 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...
IKE
2008
13 years 7 months ago
2008
One major source of performance decline in speaker recognition system is channel mismatch between training and testing. This paper focuses on improving channel robustness of speake...