Blending LSTMs into CNNs

19 Nov 2015Krzysztof J. GerasAbdel-rahman MohamedRich CaruanaGregor UrbanShengjie WangOzlem AslanMatthai PhiliposeMatthew RichardsonCharles Sutton

We consider whether deep convolutional networks (CNNs) can represent decision functions with similar accuracy as recurrent networks such as LSTMs. First, we show that a deep CNN with an architecture inspired by the models recently introduced in image recognition can yield better accuracy than previous convolutional and LSTM networks on the standard 309h Switchboard automatic speech recognition task... (read more)

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