1,515 research outputs found
Effects of a new triple- reaction rate on the helium ignition of accreting white dwarfs
Effects of a new triple-alpha reaction rate on the ignition of carbon-oxygen
white dwarfs accreting helium in a binary systems have been investigated. The
ignition points determine the properties of a thermonuclear explosion of a Type
Ia supernova. We examine the cases of different accretion rates of helium and
different initial masses of the white dwarf, which was studied in detail by
Nomoto. We find that for all cases from slow to intermediate accretion rates,
nuclear burnings are ignited at the helium layers. As a consequence, carbon
deflagration would be triggered for the lower accretion rate compared to that
of which has been believed
to the lower limit of the accretion rate for the deflagration supernova.
Furthermore, off-center helium detonation should result for intermediate and
slow accretion rates and the region of carbon deflagration for slow accretion
rate is disappeared.Comment: 4 pages, 2 figure
Sampling-based speech parameter generation using moment-matching networks
This paper presents sampling-based speech parameter generation using
moment-matching networks for Deep Neural Network (DNN)-based speech synthesis.
Although people never produce exactly the same speech even if we try to express
the same linguistic and para-linguistic information, typical statistical speech
synthesis produces completely the same speech, i.e., there is no
inter-utterance variation in synthetic speech. To give synthetic speech natural
inter-utterance variation, this paper builds DNN acoustic models that make it
possible to randomly sample speech parameters. The DNNs are trained so that
they make the moments of generated speech parameters close to those of natural
speech parameters. Since the variation of speech parameters is compressed into
a low-dimensional simple prior noise vector, our algorithm has lower
computation cost than direct sampling of speech parameters. As the first step
towards generating synthetic speech that has natural inter-utterance variation,
this paper investigates whether or not the proposed sampling-based generation
deteriorates synthetic speech quality. In evaluation, we compare speech quality
of conventional maximum likelihood-based generation and proposed sampling-based
generation. The result demonstrates the proposed generation causes no
degradation in speech quality.Comment: Submitted to INTERSPEECH 201
Voice Conversion Using Sequence-to-Sequence Learning of Context Posterior Probabilities
Voice conversion (VC) using sequence-to-sequence learning of context
posterior probabilities is proposed. Conventional VC using shared context
posterior probabilities predicts target speech parameters from the context
posterior probabilities estimated from the source speech parameters. Although
conventional VC can be built from non-parallel data, it is difficult to convert
speaker individuality such as phonetic property and speaking rate contained in
the posterior probabilities because the source posterior probabilities are
directly used for predicting target speech parameters. In this work, we assume
that the training data partly include parallel speech data and propose
sequence-to-sequence learning between the source and target posterior
probabilities. The conversion models perform non-linear and variable-length
transformation from the source probability sequence to the target one. Further,
we propose a joint training algorithm for the modules. In contrast to
conventional VC, which separately trains the speech recognition that estimates
posterior probabilities and the speech synthesis that predicts target speech
parameters, our proposed method jointly trains these modules along with the
proposed probability conversion modules. Experimental results demonstrate that
our approach outperforms the conventional VC.Comment: Accepted to INTERSPEECH 201
Computational Procedure for Estimating the Effects of Sea Sprays on Temperature Fields over the Sea Surface
Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv
- …