Abstract :
This scientific work provides information on the importance of studying spontaneous speech in computational linguistics. Studying spontaneous speech has numerous practical implications. The ramifications of spontaneous speech analysis are extensive, ranging from improving voice assistants and speech-to-text systems to enhancing human-computer interaction. An examination of spontaneous speech in computational linguistics offers a more authentic depiction of language usage, poses difficulties for current models, and opens up fresh opportunities for enhancing the precision and adaptability of language processing systems. The integration of spontaneous speech analysis will be crucial in developing the discipline of computational linguistics as technology progresses.
Keywords :
artificial intelligence (AI), automatic speech recognition, automatic speech recognition (ASR), computational linguistics, computer–mediated communication, language models, natural language processing, natural language processing (NLP)., potential impact, spontaneous speechReferences :
- Amjad, A., Khan, L., Ashraf, N., Mahmood, M. B., & Chang, H. T. Recognizing semi–natural and spontaneous speech emotions Using Deep Neural Networks. IEEE Access, 10, 2022. – p. 37149–37163.
- Bang, J. U., Yun, S., Kim, S. H., Choi, M. Y., Lee, M. K., Kim, Y. J., Kim, S.H. (2020). Ksponspeech: Korean spontaneous speech corpus for automatic speech recognition. Applied Sciences (Switzerland), 10(19), 1–17.
- Gavins, J. (2007). Text World Theory. Edinburgh University Press.
- Jongman, S.R., Khoe, Y.H., Hintz, F. (2021). Vocabulary size influences spontaneous speech in native language users: validating the use of automatic speech recognition in individual differences research. Language and Speech, 64(1), 35–51.
- Werth, P. (1994). Extended Metaphor: A Text World Account. Language and Literature, 3(2), 79–103.
- Werth, P. (1995). How to Build a World (in a Lot Less than Six Days and Using Only What’s in your Head). In K. Green (Ed.), New Essays on Deixis: Discourse, Narrative, Literature (pp. 49–80). Amsterdam: Rodopi.
- Werth, P. (1995). “World Enough and Time”: Deictic Space and the Interpretation of Prose. In P. Verdonk and J. J. Weber (Eds.), Twentieth Century Fiction: From Text to Context (pp. 181–205). London: Routledge.
- Werth, P. (1997). Conditionality as Cognitive Distance. In A. Athanasiadou and R. Dirven (Eds.), On Conditionals Again (pp. 243–71). Amsterdam: Benjamins.
- Werth, P. (1997). Remote Worlds: The Conceptual Representation of Linguistic Would. In J. Nuyts and E. Pederson (Eds.), Language and Conceptualization, – p. 84–115), Cambridge: Cambridge University Press.
- Werth, P. (1999). Text Worlds: Representing Conceptual Space in Discourse. London: Longman.
- Ismatullayeva, N. R. (2020). Probability Prediction Strategy In Simultaneous Interpretation. Current research journal of philological sciences, 1(01), 1-6.
- Ismatullayeva, N. R. (2022). Possibilities of Using the Interactive Board in Foreign Language Lessons. O‘zbekiston-Xitoy: Tarixiy-Madaniy, 77.