Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Speech Enhancement using Kernel and Normalized Kernel Affine Projection
  Algorithm   The goal of this paper is to investigate the speech signal enhancement using
Kernel Affine Projection Algorithm (KAPA) and Normalized KAPA. The removal of
background noise is very important in many applications like speech
recognition, telephone conversations, hearing aids, forensic, etc. Kernel
adaptive filters shown good performance for removal of noise. If the evaluation
of background noise is more slowly than the speech, i.e., noise signal is more
stationary than the speech, we can easily estimate the noise during the pauses
in speech. Otherwise it is more difficult to estimate the noise which results
in degradation of speech. In order to improve the quality and intelligibility
of speech, unlike time and frequency domains, we can process the signal in new
domain like Reproducing Kernel Hilbert Space (RKHS) for high dimensional to
yield more powerful nonlinear extensions. For experiments, we have used the
database of noisy speech corpus (NOIZEUS). From the results, we observed the
removal noise in RKHS has great performance in signal to noise ratio values in
comparison with conventional adaptive filters.

9
The categories of this paper are: nlin
7
The categories of this paper are: hep-th
12
The categories of this paper are: nucl-th
35
The categories of this paper are: mtrl-th
21
The categories of this paper are: adap-org
36
The categories of this paper are: cmp-lg
29
The categories of this paper are: funct-an
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc
16
The categories of this paper are: stat
8
The categories of this paper are: hep-ex
2
The categories of this paper are: math
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ
4
The categories of this paper are: cond-mat
26
The categories of this paper are: bayes-an