Introduction
This release of Speech Under Simulated and Actual Stress (SUSAS) was created by
the Robust Speech Processing Laboratory at the University of Colorado-Boulder
under the direction of Professor John H. L. Hansen and sponsored by the Air
Force Research Laboratory.
Data
The database is partitioned into four domains, encompassing a
wide variety of stresses and emotions. A total of 32 speakers
(13 female, 19 male), with ages ranging from 22 to 76 were employed to generate
in excess of 16,000 utterances. SUSAS also contains several longer speech files
from four Apache helicopter pilots. These helicopter speech files were
transcribed by the Linguistic Data Consortium and are available via ftp. A
common highly confusable vocabulary set of 35 aircraft communication words make
up the database. All speech tokens were sampled using a 16-bit A/D converter
at a sample rate of 8kHz. This one CD-ROM corpus is structured like the TIMIT
database.
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1. Talking Styles Domain
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Types of Stress or Emotion
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Simulated Stress (slow, fast, angry, question, soft, loud, clear)
Speakers
--------
9 (all male)
Word Count
----------
8820
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2. Single Tracking Task Domain
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Types of Stress or Emotion
-------------------------
Calibrated Workload Tracking Task: moderate & high stress, Lombard
effect
Speakers
--------
9 (all male)
Word Count
----------
1890
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3. Dual Tracking Task Domain
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Types of Stress or Emotion
-------------------------
Acquisition & Compensatory Tracking Task: moderate & high stress
Speakers
--------
8 (4 male, 4 female)
Word Count
----------
2257
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4. Actual Speech Under Stress Domain
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Types of Stress or Emotion
--------------------------
Amusement Park Roller-Coaster, Helicopter Cockpit Recordings (G-force,
Lombard effect, noise, fear, anxiety)
Speakers
--------
11 (8 male, 3 female)
Word Count
----------
1642
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35 Word SUSAS Vocabulary Set
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brake, change, degree, destination, east, eight, eighty, enter, fifty,
fix, freeze, gain, go, hello, help, histogram, hot, mark, nav, no, oh,
on, out, point, six, south, stand, steer, strafe, ten, thirty, three,
white, wide, & zero.
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