Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Deep Learning Approach for Low-Latency Packet Loss Concealment of
  Audio Signals in Networked Music Performance Applications   Networked Music Performance (NMP) is envisioned as a potential game changer
among Internet applications: it aims at revolutionizing the traditional concept
of musical interaction by enabling remote musicians to interact and perform
together through a telecommunication network. Ensuring realistic conditions for
music performance, however, constitutes a significant engineering challenge due
to extremely strict requirements in terms of audio quality and, most
importantly, network delay. To minimize the end-to-end delay experienced by the
musicians, typical implementations of NMP applications use un-compressed,
bidirectional audio streams and leverage UDP as transport protocol. Being
connection less and unreliable,audio packets transmitted via UDP which become
lost in transit are not re-transmitted and thus cause glitches in the receiver
audio playout. This article describes a technique for predicting lost packet
content in real-time using a deep learning approach. The ability of concealing
errors in real time can help mitigate audio impairments caused by packet
losses, thus improving the quality of audio playout in real-world scenarios.

18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
29
The categories of this paper are: funct-an
13
The categories of this paper are: quant-ph
37
The categories of this paper are: supr-con
8
The categories of this paper are: hep-ex
12
The categories of this paper are: nucl-th
15
The categories of this paper are: nucl-ex
4
The categories of this paper are: cond-mat
17
The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
24
The categories of this paper are: dg-ga
34
The categories of this paper are: chem-ph
35
The categories of this paper are: mtrl-th
6
The categories of this paper are: astro-ph