Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion   Grapheme-to-phoneme (G2P) conversion is an important task in automatic speech
recognition and text-to-speech systems. Recently, G2P conversion is viewed as a
sequence to sequence task and modeled by RNN or CNN based encoder-decoder
framework. However, previous works do not consider the practical issues when
deploying G2P model in the production system, such as how to leverage
additional unlabeled data to boost the accuracy, as well as reduce model size
for online deployment. In this work, we propose token-level ensemble
distillation for G2P conversion, which can (1) boost the accuracy by distilling
the knowledge from additional unlabeled data, and (2) reduce the model size but
maintain the high accuracy, both of which are very practical and helpful in the
online production system. We use token-level knowledge distillation, which
results in better accuracy than the sequence-level counterpart. What is more,
we adopt the Transformer instead of RNN or CNN based models to further boost
the accuracy of G2P conversion. Experiments on the publicly available CMUDict
dataset and an internal English dataset demonstrate the effectiveness of our
proposed method. Particularly, our method achieves 19.88% WER on CMUDict
dataset, outperforming the previous works by more than 4.22% WER, and setting
the new state-of-the-art results.

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The categories of this paper are: hep-ex
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The categories of this paper are: cond-mat
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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-lat
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The categories of this paper are: math
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The categories of this paper are: q-fin
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The categories of this paper are: physics
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The categories of this paper are: stat
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The categories of this paper are: nucl-ex
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The categories of this paper are: alg-geom
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The categories of this paper are: q-alg
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The categories of this paper are: cmp-lg
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The categories of this paper are: hep-th
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The categories of this paper are: nlin
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The categories of this paper are: plasm-ph
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The categories of this paper are: adap-org