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pro vyhledávání: '"Andreas Stoicke"'
Autor:
Gerald Penn, Dong Yu, Jasha Droppo, Geoffrey Zweig, Frank Seide, Andreas Stoicke, Abdelrahman Mohamed
Publikováno v:
ASRU
Long short-term memory (LSTM) acoustic models have recently achieved state-of-the-art results on speech recognition tasks. As a type of recurrent neural network, LSTMs potentially have the ability to model long-span phenomena relating the spectral in
Autor:
Andreas Stoicke, Suman V. Ravuri
Publikováno v:
ASRU
Domain and intent classification are critical pre-processing steps for many speech understanding and dialog systems, as it allows for certain types of utterances to be routed to particular subsystems. In previous work, we explored many types of neura