Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Multi-Phase Gammatone Filterbank for Speech Separation via TasNet   In this work, we investigate if the learned encoder of the end-to-end
convolutional time domain audio separation network (Conv-TasNet) is the key to
its recent success, or if the encoder can just as well be replaced by a
deterministic hand-crafted filterbank. Motivated by the resemblance of the
trained encoder of Conv-TasNet to auditory filterbanks, we propose to employ a
deterministic gammatone filterbank. In contrast to a common gammatone
filterbank, our filters are restricted to 2 ms length to allow for low-latency
processing. Inspired by the encoder learned by Conv-TasNet, in addition to the
logarithmically spaced filters, the proposed filterbank holds multiple
gammatone filters at the same center frequency with varying phase shifts. We
show that replacing the learned encoder with our proposed multi-phase gammatone
filterbank (MP-GTF) even leads to a scale-invariant source-to-noise ratio
(SI-SNR) improvement of 0.7 dB. Furthermore, in contrast to using the learned
encoder we show that the number of filters can be reduced from 512 to 128
without loss of performance.

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The categories of this paper are: econ
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The categories of this paper are: stat
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The categories of this paper are: supr-con
3
The categories of this paper are: physics
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The categories of this paper are: atom-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: alg-geom
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The categories of this paper are: hep-lat
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The categories of this paper are: chem-ph
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The categories of this paper are: math
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The categories of this paper are: hep-ex
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The categories of this paper are: hep-th
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The categories of this paper are: nucl-ex
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The categories of this paper are: mtrl-th
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The categories of this paper are: nlin
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The categories of this paper are: funct-an