9,926 research outputs found
A Fully Time-domain Neural Model for Subband-based Speech Synthesizer
This paper introduces a deep neural network model for subband-based speech
synthesizer. The model benefits from the short bandwidth of the subband signals
to reduce the complexity of the time-domain speech generator. We employed the
multi-level wavelet analysis/synthesis to decompose/reconstruct the signal into
subbands in time domain. Inspired from the WaveNet, a convolutional neural
network (CNN) model predicts subband speech signals fully in time domain. Due
to the short bandwidth of the subbands, a simple network architecture is enough
to train the simple patterns of the subbands accurately. In the ground truth
experiments with teacher-forcing, the subband synthesizer outperforms the
fullband model significantly in terms of both subjective and objective
measures. In addition, by conditioning the model on the phoneme sequence using
a pronunciation dictionary, we have achieved the fully time-domain neural model
for subband-based text-to-speech (TTS) synthesizer, which is nearly end-to-end.
The generated speech of the subband TTS shows comparable quality as the
fullband one with a slighter network architecture for each subband.Comment: 5 pages, 3 figur
Entropy in the Kerr-Newman Black Hole
Entropy of the Kerr-Newman black hole is calculated via the brick wall method
with maintaining careful attention to the contribution of superradiant scalar
modes. It turns out that the nonsuperradinat and superradiant modes
simultaneously contribute to the entropy with the same order in terms of the
brick wall cutoff . In particular, the contribution of the
superradiant modes to the entropy is negative. To avoid divergency in this
method when the angular velocity tends to zero, we propose to intr oduce a
lower bound of angular velocity and to treat the case of the angular momentum
per unit mass separately. Moreover, from the lower bound of the angular
velocity, we obtain the -dependence structure of the brick wall cutoff,
which natu rally requires an angular cutoff . Finally, if the cutoff
values, and , satisfy a proper relation between them, the
resulting entropy satisfies the area law.Comment: 16 pages, Latex, no figures, References are included, Subsection A
and B are reduced to subsection A, Abstract is rewritten, Minor corrections
are include
- …