Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Using Cyclic Noise as the Source Signal for Neural Source-Filter-based
  Speech Waveform Model   Neural source-filter (NSF) waveform models generate speech waveforms by
morphing sine-based source signals through dilated convolution in the time
domain. Although the sine-based source signals help the NSF models to produce
voiced sounds with specified pitch, the sine shape may constrain the generated
waveform when the target voiced sounds are less periodic. In this paper, we
propose a more flexible source signal called cyclic noise, a quasi-periodic
noise sequence given by the convolution of a pulse train and a static random
noise with a trainable decaying rate that controls the signal shape. We further
propose a masked spectral loss to guide the NSF models to produce periodic
voiced sounds from the cyclic noise-based source signal. Results from a
large-scale listening test demonstrated the effectiveness of the cyclic noise
and the masked spectral loss on speaker-independent NSF models in
copy-synthesis experiments on the CMU ARCTIC database.

37
The categories of this paper are: supr-con
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
27
The categories of this paper are: comp-gas
1
The categories of this paper are: cs
25
The categories of this paper are: patt-sol
0
The categories of this paper are: hep-ph
28
The categories of this paper are: alg-geom
33
The categories of this paper are: plasm-ph
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
9
The categories of this paper are: nlin
36
The categories of this paper are: cmp-lg
35
The categories of this paper are: mtrl-th
24
The categories of this paper are: dg-ga
10
The categories of this paper are: q-bio