INSTRUMENTAL  TRANSCOMMUNICATION
by Ernst Senkowski

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B-12.2          STATISTICAL ANALYSIS

We are doing (hard) work so that we may really speak. 

Statistical analyses have furnished some remarkable information about the characteristic properties of tape-recorded voices (VOT). The most prominent quantifiable feature of the psychophonic style (discussed in chapter B-11.2 L2) is its much lower average ratio of syllables to words (S/W ratio) as compared to normal speech. Trajna compared 2 x 24000 words from normal texts of four experimenters with an equivalent number of words from voices on tape they had recorded. The reduction in the S/W (paranormal:normal) ratio was around 1,6 : 2,0, i.e.,  20 % [112]. The author’s analyzation of a smaller number of chance controls made on his own work, and that of others, produced comparable results (table Ill. 20). Although the values S, W, P, and their ratios show relatively great differences in the individual recording tests, the mean values S/P and W/P, i.e., the passage (or sentence) lengths increase with the time. The increase of duration linked with it indicates growing abilities in adaptation: the ‘synchronization’ of the different systems is maintained each time for a longer while. Parallely, S/W increases from 1,55 to 1,98 and reaches – on psychophonic style basis – the value of normal speech. The table does not reveal that, nor in which manner, the number of passages and their maximum lengths increased with every successive experiment. Looking on the whole of analyses, data flow and data flow rate have increased in the course of development.

[112] To do so, one counts the total number of words W and syllables S of a sufficiently big number of passages to then form the quotient S/W. The normal values for it are dependent on language and style. Because of the many compound words in German, its S/W ratio is relatively high. – TRAJNA discovered that the differences in the S/W ratio between the normal texts of the experimenters were greater than those between the less personally specific voices they had recorded on tape.

One can avoid the time-consuming measuring of passage durations P [113] by limiting oneself to the determination of the number of passages P(n) with each n syllables per passage S/P and putting it over n. The thus resulting frequency distribution curves are linked by nature with the time distributions by the speed of speaking. The graphic of Ill. 21 shows each of the relative P(n)P percentiles. This illustration may be apt to induce some interesting reflections.

[113] Constructional rule: A total number of P passages is given. The duration t(P) of each passage is measured. The number ∆P of those passages is counted, which lie in each of the predetermined intervals of time ∆t, say between 0.0 – 0.2, 0.2 – 0.4 sec., etc. The values ∆P/P are plotted along the time axis t and linked to form a distribution curve.

 

NR

S

W

P

S/P

W/P

S/W

01

  1200

768

192

6,2

4,0

1,55

02

7953

4950

887

8,9

5,5

1,61

03

1560

876

110

14,2

8,0

1,78

04

517

291

38

13,6

7,7

1,78

05

2467

1393

143

17,2

9,7

1,77

06

2481

1258

119

21,9

11,1

1,97

07

656

339

19

34,5

17,8

1,94

08

1053

532

31

34,0

17,2

1,98

 


01

voices on tape, recorded with radio method; Senkowski, South Tyrol, 1979


02

voices on tape, recorded with radio method and auxiliary fields; Senkowski, Mainz, selection of VOT from 1977 onwards


03

direct electro-acoustic voices, recorded with generator with infrared and high frequency; Koenig, 1985-1988 (7 recordings)


04

direct electro-acoustic voices, recorded with infrared and high frequency; Koenig in Buedingen, 11/1988 (2 experiments)


05

direct electro-acoustic voices, recorded with complex installation; Haerting, Darmstadt, 1987


06

direct electro-acoustic voices, recorded with ESB and GA1; CETL, Luxemburg, from 1986 onwards


07

direct electro-acoustic voices, recorded with TV sound channel; CETL, Luxemburg, 07/1988


08

direct electro-acoustic voices, computer printout; CETL, Luxemburg, 05/1988

Ill. 20 :   SYLLABLES (S), WORDS (W), PASSAGES (P), AND THEIR RELATIONSHIP
IN VARIOUS TRANSAUDIO CONTACTS OF DIFFERENT EXPERIMENTERS

 

n

P(n)

P(n)/P

 

n

P(n)

P(n)/P

1

1

0,5

 

1

0

0,0

2

11

5,7

 

2

5

0,6

3

21

10,9

 

3

13

1,5

4

28

14,6

 

4

43

4,8

5

28

14,6

 

5

72

8,1

6

27

14,1

 

6

89

10,0

7

22

11,5

 

7

118

13,3

8

17

8,9

 

8

120

13,5

9

13

6,8

 

9

106

12,0

10

9

4,7

 

10

66

7,4

11

3

1,6

 

11

78

8,8

12

4

2,1

 

12

51

5,8

13

2

1,0

 

13

36

4,0

14

1

0,5

 

14

33

3,7

15

2

1,0

 

15

14

1,6

16

1

0,5

 

16

16

1,8

17

1

0,5

 

17

7

0,8

18

  1

  0,5

 

18

7

0,8

 

192

100 %

 

19

6

0,7

 

 

 

 

20

2

0,2

 

 

22

2

0,2

 

 

24

1

0,1

DATA OF
Ill. 20-01  AND Ill. 20-02

 

26

1

0,1

        

 

38

  1

  0,1

 

 

 

 

 

887

100 %

  

 

 


FREQUENCY DISTRIBUTION CURVES P (n) / P OF PASSAGES P (n) WITH n S/P OVER n


A   01 of Ill. 20, SENKOWSKI
B   TRAJNA
C   02 of Ill. 20, SENKOWSKI
D   HAERTING (6369 S in 384 P)


A AND B ARE INDEPENDENTLY OBTAINED TYPICAL EXAMPLES OF PSYCHOPHONIC STYLE (A IN GERMAN – B IN ITALIAN). C REPRESENTS A TRANSITION TOWARDS D, NORMAL SPEECH.

 Ill. 21:  TABLES AND GRAPHIC OF FREQUENCY DISTRIBUTIONS 

If one starts from the frequency distributions of VOT, the maximum determined by MACRAE with 1.50 sec. to 1.75 sec. corresponds to a range of 4-6 S/P. As the passages increase in length, the frequency distributions become flatter, broader, and less ‘smooth’. The usual linkage of: short sentences - low S/W ratio (and the reverse: long sentences - high S/W ratio) is not obligatory. Relatively long passages can be made up of short words: for example, Koenig, May 14, 1988: S/W = 1.72,  S/P = 15.5; or Haerting, 1987, selection: S/W = 1.77, S/P = 17.2. On the other hand, a one-word sentence can be made up of a very long word, e.g., Kontaktfeldverbesserung (contact field improvement) (CETL) has a S/W ratio of 7. Over the evolution of instrumental transcommunication, S/P values have risen considerably (see Figs. 20 and 21). Individual values vary over a wide range; the absolute maximum is a sentence with 55 W and 110 S, i.e. a S/W ratio of 2.00.  

MACRAE has shown how improbable it is that short meaningful passages would come about as a result of random ‘editing’  from a continuously spoken text. He is convinced that the maximum of the frequency distribution of VOT argues against their accidental origin. 

The interpretation of the paranormal sentence we must speak children’s language suggested in chapter A-2 can now be taken further: this kind of ‘speech’ is in some ways related to that of our young children [114]. A humorously serious computer text having arrived at HOMES from DEVAs (spirits of plants) shows the trait of young children’s way of speaking.

[114] The idea of a learning process is confirmed by the development. One should note: wir muessen (we must), i.e., ‘there is no other way (as yet)’.

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