Measuring and analysis of speech-to-text accuracy of some automatic speech recognition services in dynamic environment conditions

Author:

Gyulyustan Hasan,Hristov Hristo,Stavrev Stefan,Enkov Svetoslav

Publisher

AIP

Reference20 articles.

1. J. L. Kröger, O. H. M. Lutz and P. Raschke, “Privacy Implications of Voice and Speech Analysis-Information Disclosure by Inference”, in: Friedewald, ed. by M., Önen, M., Lievens, E., Krenn, S., Fricker (IFIP Advances in Information and Communication Technology, 2020), 576, Cham.

2. T. Yanhui, J. Du and C. Lee, “Speech Enhancement Based on Teacher-Student Deep Learning Using Improved Speech Presence Probability for Noise-Robust Speech Recognition”, in IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2019, p. 1

3. Phonetic Typewriter

4. J. P. Zuluaga, P. Motlicek, Q. Zhan, et. al., “Automatic Speech Recognition Benchmark for Air-Traffic Communications”, Proc. Interspeech 2020, 2020, pp.2297–2301.

5. Results Obtained from a Vowel Recognition Computer Program

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