Exploring multidimensional lstms for large vocabulary ASR

ICASSP, pp. 4940-4944, 2016.

Cited by: 47|Bibtex|Views129
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Long short-term memory (LSTM) recurrent neural networks (RNNs) have recently shown significant performance improvements over deep feed-forward neural networks. A key aspect of these models is the use of time recurrence, combined with a gating architecture that allows them to track the long-term dynamics of speech. Inspired by human spectr...More

Code:

Data:

Your rating :
0

 

Tags
Comments