TECHNICAL ANALYSIS OF HUMAN SPEECH IN EDUCATIONAL ACTIVITIES
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Abstract:
This article examines the technical analysis of human speech in educational activities. During the study, speech signals were converted into digital format and analyzed in terms of formants, spectrograms, amplitude, and temporal parameters. The obtained results allow assessment of pronunciation, intonation, stress, and rhythm of speech. Moreover, automatic signal analysis algorithms enable the objectification of the pedagogical process and the organization of individual training sessions. The study demonstrates that technical analysis of speech is an effective tool for scientifically substantiating the pedagogical process and improving speech skills.
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Ladefoged, P. A Course in Phonetics. Cengage Learning, 2014.
Rabiner, L., Schafer, R. Digital Processing of Speech Signals. Prentice Hall, 1978.
Boersma, P., Weenink, D. Praat: doing phonetics by computer. 2022.
Kent, R., Read, C. Acoustic Analysis of Speech. Singular Publishing Group, 2002.
Johnson, K. Acoustic and Auditory Phonetics. Wiley-Blackwell, 2012.
O’Shaughnessy, D. Speech Communication: Human and Machine. IEEE Press, 2000.
Stevens, K.N. Acoustic Phonetics. MIT Press, 2000.
Harrington, J. English Speech: An Introduction to Phonetics. Edinburgh University Press, 2006.
Crystal, D. The Cambridge Encyclopedia of Language. Cambridge University Press, 2010.
Alku, P., & Vilkman, E. “Method for automatic formant tracking in speech signals.” Journal of Phonetics, 2001.