Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Improving Gated Recurrent Unit Based Acoustic Modeling with Batch
  Normalization and Enlarged Context   The use of future contextual information is typically shown to be helpful for
acoustic modeling. Recently, we proposed a RNN model called minimal gated
recurrent unit with input projection (mGRUIP), in which a context module namely
temporal convolution, is specifically designed to model the future context.
This model, mGRUIP with context module (mGRUIP-Ctx), has been shown to be able
of utilizing the future context effectively, meanwhile with quite low model
latency and computation cost. In this paper, we continue to improve mGRUIP-Ctx
with two revisions: applying BN methods and enlarging model context.
Experimental results on two Mandarin ASR tasks (8400 hours and 60K hours) show
that, the revised mGRUIP-Ctx outperform LSTM with a large margin (11% to 38%).
It even performs slightly better than a superior BLSTM on the 8400h task, with
33M less parameters and just 290ms model latency.

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The categories of this paper are: nlin
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ
23
The categories of this paper are: solv-int
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The categories of this paper are: hep-ex
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The categories of this paper are: astro-ph
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The categories of this paper are: hep-th
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The categories of this paper are: q-bio
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The categories of this paper are: cond-mat
0
The categories of this paper are: hep-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: funct-an
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The categories of this paper are: supr-con
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The categories of this paper are: quant-ph