Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Nonlinear prediction with neural nets in ADPCM   In the last years there has been a growing interest for nonlinear speech
models. Several works have been published revealing the better performance of
nonlinear techniques, but little attention has been dedicated to the
implementation of the nonlinear model into real applications. This work is
focused on the study of the behaviour of a nonlinear predictive model based on
neural nets, in a speech waveform coder. Our novel scheme obtains an
improvement in SEGSNR between 1 and 2 dB for an adaptive quantization ranging
from 2 to 5 bits.

23
The categories of this paper are: solv-int
33
The categories of this paper are: plasm-ph
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc
15
The categories of this paper are: nucl-ex
16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci
0
The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
37
The categories of this paper are: supr-con