Advances in healthcare information systems and administration book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 313 - 330
Published: Nov. 22, 2024
Speech
disorders
are
the
conditions
in
people
which
affect
their
ability
to
speak
properly
i.e.,
different
from
normal
fluency
speaking.
These
speech
issues
usually
generated
due
a
variety
of
neurological
issues.
The
proper
and
correct
analysis
these
is
always
required
for
recommendation
treatment.
signals
may
provide
deep
insight
into
type
speech-related
In
this
paper,
thorough
performed
signals-based
disorder
analysis.
Various
types
discussed
here,
along
with
treatments
diagnosis
methods.
Furthermore,
various
steps
involved
thoroughly
examined.
traditional
models
as
well
novel
learning
further
applicability
detecting
disorders.
such
Dysarthria,
stuttering,
voice
disorders,
etc.
considered
here
Frontiers in Psychology,
Journal Year:
2025,
Volume and Issue:
16
Published: March 10, 2025
Trust
is
a
multidimensional
and
dynamic
social
cognitive
construct,
considered
the
glue
of
society.
Gauging
someone’s
perceived
trustworthiness
essential
for
forming
maintaining
healthy
relationships
across
various
domains.
Humans
have
become
adept
at
inferring
such
traits
from
speech
survival
sustainability.
This
skill
has
extended
to
technological
space,
giving
rise
humanlike
voice
technologies.
The
inclination
assign
personality
these
technologies
suggests
that
machines
may
be
processed
along
similar
vocal
dimensions
as
human
voices.
Given
increasing
prevalence
technology
in
everyday
tasks,
this
systematic
review
examines
factors
psychology
acoustics
influence
listeners’
perception
speakers,
they
or
machine.
Overall,
revealed
impact
perceptions
both
humans
machines.
Specifically,
combining
multiple
acoustic
features
through
multivariate
methods
enhances
interpretability
yields
more
balanced
findings
compared
univariate
approaches.
Focusing
solely
on
isolated
like
pitch
often
inconclusive
results
when
viewed
collectively
studies
without
considering
other
factors.
Crucially,
situational,
contextual
should
utilised
enhanced
interpretation
tend
offer
studies.
Moreover,
highlighted
significance
cross-examining
speaker-listener
demographic
diversity,
ethnicity
age
groups;
yet,
scarcity
efforts
accentuates
need
increased
attention
area.
Lastly,
future
work
involve
own
trust
predispositions
with
ratings
perceptions.
Journal of Speech Language and Hearing Research,
Journal Year:
2024,
Volume and Issue:
67(11), P. 4369 - 4390
Published: Oct. 17, 2024
Purpose:
As
artificial
intelligence
(AI)
takes
an
increasingly
prominent
role
in
health
care,
a
growing
body
of
research
is
being
dedicated
to
its
application
the
investigation
communication
sciences
and
disorders
(CSD).
This
study
aims
provide
comprehensive
overview,
serving
as
valuable
resource
for
researchers,
developers,
professionals
seeking
comprehend
evolving
landscape
AI
CSD
research.
Method:
We
conducted
bibliometric
analysis
AI-based
discipline
published
up
December
2023.
Utilizing
Web
Science
Scopus
databases,
we
identified
15,035
publications,
with
4,375
meeting
our
inclusion
criteria.
Based
on
data,
examined
publication
trends
patterns,
characteristics
activities,
hotspot
tendencies.
Results:
From
1985
onwards,
there
has
been
consistent
annual
increase
averaging
16.51%,
notably
surging
from
2012
The
primary
studied
include
autism,
aphasia,
dysarthria,
Parkinson's
disease,
Alzheimer's
disease.
Noteworthy
models
instantiated
encompass
support
vector
machine,
convolutional
neural
network,
hidden
Markov
model,
among
others.
Conclusions:
Compared
applications
other
fields,
adoption
lagged
slightly
behind.
While
studies
primarily
use
classical
machine
learning
techniques,
trend
toward
integration
deep
methods.
technology
offers
significant
benefits
both
clinical
practice
CSD,
but
it
also
presents
certain
challenges.
Moving
forward,
collaboration
technological,
research,
domains
essential
empower
researchers
speech-language
pathologists
effectively
leverage
study,
diagnosis,
assessment,
rehabilitation
CSD.
Supplemental
Material:
https://doi.org/10.23641/asha.27162564
Cureus,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 2, 2024
With
technological
advancements,
artificial
intelligence
(AI)
has
progressed
to
become
a
ubiquitous
part
of
human
life.
Its
aspects
in
otorhinolaryngology
are
varied
and
continuously
evolving.
Currently,
AI
applications
hearing
aids,
imaging
technologies,
interpretation
auditory
brain
stem
systems,
many
more
otology.
In
rhinology,
is
seen
impact
navigation,
robotic
surgeries,
the
determination
various
anomalies.
Detection
voice
pathologies
some
areas
laryngology
where
being
used.
This
review
gives
an
outlook
on
diverse
elements,
applications,
advancements
otorhinolaryngology.
The
subfields
including
machine
learning,
neural
networks,
deep
learning
also
discussed.
Clinical
integration
immense
potential
revolutionize
healthcare
system
improve
standards
patient
care.
current
its
future
scopes
developing
this
field
highlighted
review.
