Applied Mathematics and Nonlinear Sciences,
Год журнала:
2023,
Номер
9(1)
Опубликована: Дек. 5, 2023
Abstract
In
this
paper,
the
forward
neural
network
multi-feature
fusion
algorithm
is
used
to
extract
emotional
features
of
music
culture
on
artificial
intelligence
technology,
considering
diversity
and
intermittency
study,
which
needs
be
parameterized.
architecture,
activation
value
obtained
by
using
nonlinear
function
used,
results
are
passed
next
layer
data
realize
layer-by-layer
computation,
leads
back-propagation
function.
The
emotion
classification
model
constructed
based
propagation
mode
determine
recognition
process.
research
object
selected,
process
determined,
in
order
ensure
true
validity
research,
it
necessary
test
reliability
design
scheme
develop
an
empirical
analysis
comparison
between
popular
traditional
culture.
show
that
model,
especially
sacred,
sad,
passionate
type
accuracy
reached
more
than
88.2%.
This
paper’s
can
improve
a
certain
extent.
ontological
knowledge
culture,
all
three
editions
textbooks
general
predominant
has
large
proportion,
appreciation
extended
also
considerable,
least
small
proportion.
study
demonstrates
synergistic
development
modern
music,
great
significance
education
colleges
universities.
IEEE Access,
Год журнала:
2023,
Номер
11, С. 17031 - 17052
Опубликована: Янв. 1, 2023
The
discipline
of
Deep
Learning
has
been
recognized
for
its
strong
computational
tools,
which
have
extensively
used
in
data
and
signal
processing,
with
innumerable
promising
results.
Among
the
many
commercial
applications
Learning,
Music
Signal
Processing
received
an
increasing
amount
attention
over
last
decade.
This
work
reviews
most
recent
developments
processing.
Two
main
that
are
discussed
Information
Retrieval,
spans
a
plethora
applications,
Generation,
can
fit
range
musical
styles.
After
review
both
topics,
several
emerging
directions
identified
future
research.
Applied Mathematics and Nonlinear Sciences,
Год журнала:
2024,
Номер
9(1)
Опубликована: Янв. 1, 2024
Abstract
Driven
by
the
concept
of
wisdom
education
and
development
needs
times,
personalized
teaching
has
become
a
new
requirement
for
quality
talent
cultivation
under
national
innovation-driven
strategy,
it
is
inevitable
trend
current
reform.
This
paper
builds
system
in
era
smart
education,
based
on
characteristics
local
comprehensive
universities.
Face
recognition
technology
used
to
analyze
learning
behavior
students
campus,
combined
with
virtualization
bilateral
resources
integrate
service
model
realize
distribution
demand,
classroom
analyzed
deep
intelligence
through
natural
language
processing
technology.
The
proposed
being
implemented
at
Henan
University
Science
Technology
specific
practical
analysis.
results
show
that
occupancy
rate
students’
class
2
0.3525
higher
than
1
traditional
system,
teachers’
0.5422,
conversion
behavior.
It
shows
student-oriented
can
effectively
cultivate
great
significance
educational
reform
same
type
colleges
Frontiers in Psychology,
Год журнала:
2022,
Номер
13
Опубликована: Апрель 22, 2022
The
present
study
explored
the
correlation
between
music
preference
and
mental
health
of
college
students
to
make
an
empirical
contribution
research
in
this
field.
self-reported
scale
positive
were
adopted
conduct
a
questionnaire
survey
students.
Common
method
variance
was
conducted
test
any
serious
common
bias
problem.
No
problem
observed.
results
showed
that
students'
for
pop
music,
Western
classical
Chinese
traditional
has
significant
with
their
health.
Furthermore,
heavy
inverse
This
presents
correlational
study;
therefore,
no
causality
can
be
inferred.
Scientific Programming,
Год журнала:
2021,
Номер
2021, С. 1 - 10
Опубликована: Окт. 26, 2021
The
change
of
life
style
the
times
has
also
prompted
reform
many
art
forms
(including
musicals).
Nowadays,
audience
can
not
only
enjoy
wonderful
performances
offline
musicals
but
feel
charm
online.
However,
how
to
bring
emotional
integrity
is
a
technical
problem.
In
this
paper,
deep
learning
music
emotion
recognition
model
based
on
musical
stage
effect
studied.
Firstly,
there
little
difference
between
results
identified
by
CRNN
test
and
actual
feelings
people,
coincidence
degree
responses
as
high
95.68%.
Secondly,
final
rate
98.33%,
average
accuracy
93.22%.
Finally,
compared
with
other
methods
CASIA
set,
CRNN-AttGRU
71.77%
71.60%
WAR
UAR,
highest
degree.
This
needs
update
iteration
use
learn
at
different
levels
so
make
widely
used
more
perfect
enjoyment
audience.
Journal of Educational Issues,
Год журнала:
2023,
Номер
9(1), С. 192 - 192
Опубликована: Фев. 8, 2023
This
study
focused
on
the
musical
context
and
characteristics
of
Yao
wedding
music
in
Jinxiu,
Guangxi,
China,
to
use
a
qualitative
research
methodology.
The
objective
was
1)
examine
Yao’s
music.
2)
Analyze
elements
designed
interview
observation
forms
that
were
used
throughout
interviews
observations.
By
key
informant,
divided
into
three
groups.
results
are
as
follows:
Jinxiu
is
related
with
culture,
religion,
language,
history
nation.
While
preserving
its
traditional
it
has
important
national
cultural
significance.
most
intricate
performed
alone
or
group
percussion
instruments.
With
main
melody
pentatonic
mode
played
flexible
rhythm,
relatively
fixed
simple
understand.
ritual
complementary,
representing
culture
transmission
from
their
ancestors
through
ceremony.
Numerous
applications
for
music
listeners,
educators,
DJs,
and
musicians
have
been
created
over
the
past
decade
as
field
of
Music
Deep
Learning
has
expanded.
Evidently,
majority
works
rely
on
training
their
architectures
using
well-established
databases,
which
consist
primarily
Western
popular
genres.
This
creates
a
deficiency
in
focusing
traditional
regional
music,
are
vital
to
preserving
culture.
As
an
increasing
number
research
groups
begin
develop
centered
several
practical
challenges
applying
deep
learning
arise.
work
discusses
these
issues
future
study
music.
Applied Mathematics and Nonlinear Sciences,
Год журнала:
2023,
Номер
9(1)
Опубликована: Ноя. 29, 2023
Abstract
Firstly,
the
signal
extraction
in
teaching
of
vocal
music
and
traditional
background
Internet+
is
explained
research.
Considering
that
initial
an
analog
signal,
it
necessary
to
carry
out
quantization,
pre-emphasis,
windowing
framing
processing
thus
realizing
conversion
from
signals
digital
signals.
Secondly,
features
are
extracted
fundamental
frequency
perturbation
resonance
peak
so
as
obtain
eigenvalues
signal.
Then,
evaluation
model
fusion
culture
colleges
universities
constructed,
input
network
parameters
determined
according
variables,
based
on
Internet
empirically
analyzed
by
means
simulation
analysis.
The
results
show
instance
analysis,
average
scoring
obtained
for
integration
0.729,
error
0.05%,
compared
with
subjective
0.741
(scored
experts),
two
similar,
output
basically
able
meet
requirements.
Through
this
study,
main
content
classroom
can
be
enhanced,
students
guided
treat
correctly.
