Wonder
Log in
Research Outline
Prepared for Kristen A. | Delivered July 1, 2020
Speech Emotion Recognition
Review your project details
Goals
To obtain a list of the top technology applications that detect emotion from speech, SER, in order to inform a technology application project that aims at detecting sentiment from speech.
View less
Early Findings
Top Vendors
The
top vendors
in this industry include Apple (US), Google (US), Microsoft (US), IBM (US),
A
f
f
e
c
t
i
v
a
(US), Beyond Verbal (Israel),
N
o
l
d
u
s
Information Technology (Netherlands),
T
o
b
i
i
(Sweden), NEC Corporation (Japan),
S
e
n
t
i
a
n
c
e
(Belgium),
n
V
i
s
o
(Switzerland), Eyesight Technologies (Israel),
A
y
o
n
i
x
(Japan),
C
o
g
n
i
t
e
c
Systems (Germany), SightCorp (Netherlands), CrowdEmotion (UK),
K
a
i
r
o
s
(US),
E
y
e
r
i
s
(US), and SkyBiometry (Lithuania), and
i
M
o
t
i
o
n
s
(Denmark).
The global market has penetrated
various industries
such as "medical emergency; marketing and advertisement; law enforcement, surveillance, and monitoring; entertainment and consumer electronics; robotics; and
e
L
e
a
r
n
i
n
g
." These industries have had the most implementation, with medical emergency leading the pack.
Examples of SER Technology
A
u
d
i
a
r
y
is an audio diary where patients of psychologists can assess daily progress. This makes it much easier for the patient who may have had to take notes by hand. By using
a
u
d
E
E
R
I
N
G
's
s
e
n
s
A
I
technology
, it provides an analysis of the user's emotions.
C
a
l
l
y
s
e
r
is a tool used in call centers to analyze speech. By using
a
u
d
E
E
R
I
N
G
's
s
e
n
s
A
I
technology
, the tool detects the speakers' moods as well as the overall atmosphere of the conversation.
SensAI Music
is an innovative solution that analyzes the various aspects of a music track, such as tempo, meter, tune, vocals, genre, and the overall emotional setting of the song. This analysis is critical for those who
handle large databases
of music and need to plan set lists. Additionally, external factors such as lighting, avatars, and robots can be animated to be in sync with the track.
Additional examples of
Emotion Recognition
A
P
I
s
E
m
o
t
i
e
n
t
,
A
f
f
e
c
t
i
v
a
, EmoVu,
N
v
i
s
o
,
K
a
i
r
o
s
, Project Oxford by Microsoft, Fare Reader by
N
o
d
u
s
,
S
i
g
h
t
c
o
r
p
, SkyBiometry, Face++,
I
m
o
t
i
o
n
s
, CrowdEmotions, among others.
Summary of our Early Findings
Our initial one-hour research provides insights into the different vendors in this market, the industries implementing this technology, and examples of its application.
Following our thorough research, we have provided different research paths that would add value to this research and provide a comprehensive report.
View less