Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Speech and Speaker Recognition from Raw Waveform with SincNet   Deep neural networks can learn complex and abstract representations, that are
progressively obtained by combining simpler ones. A recent trend in speech and
speaker recognition consists in discovering these representations starting from
raw audio samples directly. Differently from standard hand-crafted features
such as MFCCs or FBANK, the raw waveform can potentially help neural networks
discover better and more customized representations. The high-dimensional raw
inputs, however, can make training significantly more challenging. This paper
summarizes our recent efforts to develop a neural architecture that efficiently
processes speech from audio waveforms. In particular, we propose SincNet, a
novel Convolutional Neural Network (CNN) that encourages the first layer to
discover meaningful filters by exploiting parametrized sinc functions. In
contrast to standard CNNs, which learn all the elements of each filter, only
low and high cutoff frequencies of band-pass filters are directly learned from
data. This inductive bias offers a very compact way to derive a customized
front-end, that only depends on some parameters with a clear physical meaning.
Our experiments, conducted on both speaker and speech recognition, show that
the proposed architecture converges faster, performs better, and is more
computationally efficient than standard CNNs.

18
The categories of this paper are: econ
11
The categories of this paper are: hep-lat
22
The categories of this paper are: chao-dyn
23
The categories of this paper are: solv-int
7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol
13
The categories of this paper are: quant-ph
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The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: plasm-ph
14
The categories of this paper are: math-ph
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The categories of this paper are: q-alg
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The categories of this paper are: comp-gas
26
The categories of this paper are: bayes-an