Language differentiation based on sound patterns of the spoken word
languagedifferen00cook.pdf (11.32Mb)Abstract
A categorical analysis was made of five languages. The sounds of speech were simulated using written text converted via International Phonetic Alphabet (IPA). The sounds of speech were identified as members of fricative, nasal, stop, or vowel categories. A statistical analysis was performed on categorical content of one (at various positions in the word), two, and three sound combinations. Several attempts to achieve a differentiation scheme were made before any success was realized. Two methods of developing conditional expectation are compared: Bayes' Conditional Probability Rule, and Cook's Prognostic Progression. Statistical analysis and "loop" tests indicated that languages do have unique patterns and can be differentiated on the statistics made in the first three sounds. !00% correct decisions were achieved for as few as five words in the loop test. Limited data base negated result significance beyond three successive sounds.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
Related items
Showing items related by title, author, creator and subject.
-
Challenges in identifying (or not) focal animal sound production in baleen whale acoustic tag datasets
(2013-11);Ascribing sounds on animal-borne tag recordings to individual sound producers is integral to understanding social behavior of animal groups. Previously, sounds recorded on tags have been assigned to the tagged individual ... -
Sounds produced by wood boring marine animals and attempts to detect these animals in waterfront structures using passive sonic techniques
(Monterey, California. Naval Postgraduate School, 1979-09); NPS68-79-001Wood boring organisms such as shipworms and gribbles make characteristic sounds as they actively bore into wood. In the laboratory these sounds isolated from ambient noise have been recorded and analyzed. In habor ... -
The application of artificial-intelligence techniques to the automatic identification of sounds received at hydrophones and to the correlation of these sounds between hydrophones
(Monterey, California. Naval Postgraduate School, 1993-12);The U. S. Navy's Integrated Underwater Surveillance System (IUSS) monitors hydrophones in the northeast Pacific. Geophysicists studying the IUSS data find seismic events and correlate them between hydrophones to locate ...
