3 search results - page 1 / 1 » Dirichlet Mixture Models of neural net posteriors for HMM-ba... |
74
Voted
ICASSP
2011
IEEE
14 years 1 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...
84
Voted
BIOADIT
2004
Springer
15 years 1 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
14 years 11 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...