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CSELECT — Selects cases (groups), generate learn/test samples
This program is used to define a subsample of cases for subsequent
analyses. Cases are selected through the specification of
study-numbers, group-numbers, proband-numbers, recording days,
and experimental conditions. A sequence of CSELECT-calls accumulates
cases, so that any problem-specific subsample of cases can
be assembled by a sequence of single steps. An existing
subsample of cases is deleted by means of the parameter RSET.
Specificationlist: CSELECT
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I4 STUD 0
I4 GRUP 0
I4 PROB 0<
I4 ATAG 1 Default-value
I4 STAT 0 Default-value
I4 VERS 0 Default-value
I4 SEX 0 Default-value
I4 AMIN 0 Default-value
I4 AMAX 0 Default-value
I4 PROT 0 Default-value
I4 RSET 1 Default-value
A8 POPU Undefined
01 STUD Selects studies
02 GRUP Selects groups
03 PROB Selects probands
04 ATAG Selects recording day
05 STAT Selects experimental condition
06 VERS Selects version of recording
07 SEX Selects gender of probands
08 AMIN Specifies age interval: minimum age
09 AMAX Specifies age interval: maximum age
10 PROT Controls output to display/printer
11 RSET Controls concatenation of cases
12 POPU Label that distinguishes between populations
13 DEMO Examples that illustrate program function
- STUD = s: Study number
= 0: all studies
- GRUP = g: Group number
= 0: all groups
- PROB = p1(/p2/p3/.. ) probands p1,p2,..
= -/a/-b: proband number range a-b
= 0: all probands
- ATAG = a: Recording day
= 0: all recording days
- STAT = f: Experimental condition
= 0: all experimental conditions
- VERS = v: Version of recording
- SEX = 1: Males only
= 2: Females only
= 0: males and females
- AMIN = a: Age interval: minimum age
- AMAX = e: Age interval: maximum age
= 0: all ages
- PROT = 0: No print output
1: Report of all selected probands
- RSET = 0: Add cases to list
= 1: Begin new list
- POPU: Label to be given to this group of probands (8 char)
- DEMO: Select 20-30 years old test persons for analysis
Example
&&START CSELECT=Normative speech study zurich: males (study 600)
STUD=600,ATAG=1,STAT=2,SEX=1,AMIN=20,AMAX=30,PROT=1,RSET=1
POPU=MALES
?
&&START CSELECT=Normative speech study zurich: females (study 600)
SEX=2,RSET=0
POPU=FEMALES
&&START PATTERNS=Normative speech study zurich (study 600)
PROT=1,PLOT=2,LPRT=82,SAVE=0,FRST=3,NSPK=15
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Fig. 14: Voice sound characteristics possess a distinct
"individuality" that allows one, for example, to identify persons
on the phone very quickly without speaking explicitly about the
identity of the speaker. In fact, voice sound characteristics
have a strong biological component in the range of 80% or higher.
The inter-individual differences of voice sound patterns between
unrelated subjects can be studied in detail by means of a
similarity function that quantifies between-subject similarities
and dissimilarities as a function of frequency (here: comparison
of two repeated assessments of the same subject at 14-day
intervals). See Fig. 13 for a comparison of unrelated subjects.
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