Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Single-Channel Multi-talker Speech Recognition with Permutation
  Invariant Training   Although great progresses have been made in automatic speech recognition
(ASR), significant performance degradation is still observed when recognizing
multi-talker mixed speech. In this paper, we propose and evaluate several
architectures to address this problem under the assumption that only a single
channel of mixed signal is available. Our technique extends permutation
invariant training (PIT) by introducing the front-end feature separation module
with the minimum mean square error (MSE) criterion and the back-end recognition
module with the minimum cross entropy (CE) criterion. More specifically, during
training we compute the average MSE or CE over the whole utterance for each
possible utterance-level output-target assignment, pick the one with the
minimum MSE or CE, and optimize for that assignment. This strategy elegantly
solves the label permutation problem observed in the deep learning based
multi-talker mixed speech separation and recognition systems. The proposed
architectures are evaluated and compared on an artificially mixed AMI dataset
with both two- and three-talker mixed speech. The experimental results indicate
that our proposed architectures can cut the word error rate (WER) by 45.0% and
25.0% relatively against the state-of-the-art single-talker speech recognition
system across all speakers when their energies are comparable, for two- and
three-talker mixed speech, respectively. To our knowledge, this is the first
work on the multi-talker mixed speech recognition on the challenging
speaker-independent spontaneous large vocabulary continuous speech task.

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The categories of this paper are: q-alg
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The categories of this paper are: math-ph
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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: dg-ga
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The categories of this paper are: patt-sol
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The categories of this paper are: plasm-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: solv-int
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The categories of this paper are: econ
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The categories of this paper are: nucl-ex
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The categories of this paper are: cond-mat
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The categories of this paper are: adap-org
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The categories of this paper are: chao-dyn
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The categories of this paper are: q-fin