Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Proposal-based Few-shot Sound Event Detection for Speech and
  Environmental Sounds with Perceivers   There are many important applications for detecting and localizing specific
sound events within long, untrimmed documents including keyword spotting,
medical observation, and bioacoustic monitoring for conservation. Deep learning
techniques often set the state-of-the-art for these tasks. However, for some
types of events, there is insufficient labeled data to train deep learning
models. In this paper, we propose novel approaches to few-shot sound event
detection utilizing region proposals and the Perceiver architecture, which is
capable of accurately localizing sound events with very few examples of each
class of interest. Motivated by a lack of suitable benchmark datasets for
few-shot audio event detection, we generate and evaluate on two novel episodic
rare sound event datasets: one using clips of celebrity speech as the sound
event, and the other using environmental sounds. Our highest performing
proposed few-shot approaches achieve 0.575 and 0.672 F1-score, respectively,
with 5-shot 5-way tasks on these two datasets. These represent absolute
improvements of 0.200 and 0.234 over strong proposal-free few-shot sound event
detection baselines.

6
The categories of this paper are: astro-ph
33
The categories of this paper are: plasm-ph
36
The categories of this paper are: cmp-lg
4
The categories of this paper are: cond-mat
11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
29
The categories of this paper are: funct-an
15
The categories of this paper are: nucl-ex
16
The categories of this paper are: stat
35
The categories of this paper are: mtrl-th
14
The categories of this paper are: math-ph
5
The categories of this paper are: gr-qc
17
The categories of this paper are: q-fin
22
The categories of this paper are: chao-dyn
7
The categories of this paper are: hep-th
20
The categories of this paper are: acc-phys