A SYSTEMATIC APPROACH TO THE STUDY OF EXPERIMENTAL PHONETICS
Abstract
This article explores the application of a systematic approach in experimental phonetics, which allows for the integration of various aspects of articulation, acoustics, and speech perception to deeply understand the mechanisms of verbal communication. Based on interdisciplinary analysis, the article describes how a systematic approach can contribute to more accurate modeling and visualization of articulatory processes, improve the quality of acoustic analysis, and enhance the accuracy of perception and interpretation of speech signals. The paper presents the main methods and analyzes the relationships between articulatory and acoustic characteristics of speech, as well as their impact on perceptual processes of sound perception. The article emphasizes the importance of a systematic approach for solving complex tasks in experimental phonetics, enabling scientists to effectively integrate data from various studies and provide a more comprehensive understanding of speech processes.
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References
Ahmanova, O. S. (1969). Slovar’ lingvisticheskikh terminov (Dictionary of Linguistic Terms), 2nd ed. Moscow: Soviet Encyclopedia Publ. (In Russ.).
Boersma, P., & Weenink, D. (2021). Praat: doing phonetics by computer. Available at: https://www.researchgate.net/publication/259810776_PRAAT_Doing_phonetics_by_computer
Browman, C. P., & Goldstein, L. (1992). Articulatory phonology: An overview. Phonetica, 49(3–4), 155–180.
Catford, J. C. (2001). A Practical Introduction to Phonetics. Oxford: Oxford University Press.
Flege, J. E. (1995). Second language speech learning: Theory, findings, and problems. In: Speech Perception and Linguistic Experience: Issues in Cross-Language Research, 233–277.
Fujimura, O. (1990). Methods and Instrumentation in Speech Science. Cambridge: Cambridge University Press.
Goldsmith, J. A. (1995). The Handbook of Phonological Theory. Blackwell Handbooks in Linguistics.
Keating, P. A. (1998). Underspecification in phonetics. Phonology, 5, 275–292.
Kent, R. D., & Read, C. (2002). The Acoustic Analysis of Speech. San Diego: Singular Publishing Group, 467–487.
Ladefoged, P., & Johnson, K. (2014). A Course in Phonetics. Boston: Wadsworth, Cengage Learning.
Ling, Z.-H., Kang, S.-Y., Zen, H., Senior, A., Schuster, M., Qian, X., Meng, H., & Deng, L. (2015). Deep learning for acoustic modeling in parametric speech generation: A systematic review of existing techniques and future trends. IEEE Signal Processing Magazine.
Nassif, A. B., Shahin, I., Attili, I., Azzeh, M., & Shaalan, K. (2019). Speech recognition using deep neural networks: A systematic review. IEEE Access.
Pierrehumbert, J. (2001). Exemplar dynamics: Word frequency, lenition and contrast. In: Frequency and the Emergence of Linguistic Structure. John Benjamins.
Pisoni, D. B., & Luce, P. A. (1987). Acoustic-phonetic analyses and perceptual data. The Journal of the Acoustical Society of America.
Poeppel, D., Idsardi, W. J., & van Wassenhove, V. (2008). Speech perception at the interface of neurobiology and linguistics. Philosophical Transactions of the Royal Society B: Biological Sciences.
Saussure, F. de. (2013). Course in General Linguistics (Trans. A. M. Sukhotina; Ed. and notes R. I. Shor; Eds. Ch. Bally & A. Sechehaye, with A. Riedlinger). Moscow: URSS LIBROKOM Publ. (In Russ.).
Stevens, K. N. (1998). Acoustic Phonetics. MIT Press.
Stone, M. (2005). A guide to analysing tongue motion from ultrasound images. Clinical Linguistics & Phonetics.
Verdieva, Z. N., Veyselov, F. Y., & Agaeva, F. M. (1980). Experimental Phonetics: The First Book. Baku. (In Russ.).
Zhang, Y., Qiu, M., Tsai, C.-W., Hassan, M. M., & Alamri, A. (2007). Health-CPS: Healthcare cyber-physical system assisted by cloud and big data. IEEE Systems Journal.
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