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The Evaluation Process Automation of Phrase and Word Intelligibility Using Speech Recognition Systems

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Speech and Computer (SPECOM 2019)

Abstract

The article proposes the application of the assessment of phrase and word intelligibility through speech recognition approach in the framework of solving the problems of speech rehabilitation after the combined treatment of oncological diseases. Speech intelligibility assessments were obtained using three speech recognition systems (Google, Yandex, Voco) and compared with expert assessments of intelligibility. Experimental results show a positive opinion about the proposed approach and they are agreed with expert assessments. Based on the processed data from rehabilitation for the Russian language, a recommendation is formulated on using the Google recognition system in the first version of the being developed product. The statistical significance of the differences in the obtained estimates of intelligibility between patient sessions and the coincidence of the sign of these differences with expert estimates and theoretical expectations are shown.

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References

  1. Kaprin, A.D., Starinskiy, V.V., Petrova, G.V.: Malignancies in Russia in 2017 (Morbidity and mortality), 250 p. MNIOI name of P.A. Herzen, Moscow (2018)

    Google Scholar 

  2. Kaprin, A.D., Starinskiy, V.V., Petrova, G.V.: Status of cancer care the population of Russia in 2017, 236 p. Moscow, MNIOI name of P.A. Herzen, Moscow (2018)

    Google Scholar 

  3. Laaridh, I., Meunier, C., Fredouille, C.: Dysarthric speech evaluation: automatic and perceptual approaches. In: Proceedings of the 11th Language Resources and Evaluation Conference, Miyazaki, Japan. European Language Resource Association (2018)

    Google Scholar 

  4. Standard GOST R 50840-95 Voice over paths of communication. Methods for assessing the quality, legibility and recognition, 234 p. Publishing Standards, Moscow (1995)

    Google Scholar 

  5. Kostyuchenko, E., Meshcheryakov, R., Ignatieva, D., Pyatkov, A., Choynzonov, E., Balatskaya, L.: Correlation normalization of syllables and comparative evaluation of pronunciation quality in speech rehabilitation. In: Karpov, A., Potapova, R., Mporas, I. (eds.) SPECOM 2017. LNCS (LNAI), vol. 10458, pp. 262–271. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-66429-3_25

    Chapter  Google Scholar 

  6. Kostyuchenko, E., Roman, M., Ignatieva, D., Pyatkov, A., Choynzonov, E., Balatskaya, L.: Evaluation of the speech quality during rehabilitation after surgical treatment of the cancer of oral cavity and oropharynx based on a comparison of the fourier spectra. In: Ronzhin, A., Potapova, R., Németh, G. (eds.) SPECOM 2016. LNCS (LNAI), vol. 9811, pp. 287–295. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-43958-7_34

    Chapter  Google Scholar 

  7. Kostyuchenko, E., Ignatieva, D., Mescheryakov, R., Pyatkov, A., Choynzonov, E., Balatskaya, L.: Model of system quality assessment pronouncing phonemes. In: 2016 Dynamics of Systems, Mechanisms and Machines (Dynamics), pp. 1–5 (2016). https://doi.org/10.1109/Dynamics.2016.7819016

  8. Cloud Speech-to-Text documentation. https://cloud.google.com/speech-to-text/docs/

  9. Yandex SpeechKit. https://cloud.yandex.ru/docs/speechkit/

  10. Programs for speech recognition into text VOCO. https://www.speechpro.ru/product/programmy-dlya-raspoznavaniya-rechi-v-tekst/voco/specification

  11. Translator of Russian words in phonetic transcription. https://easypronunciation.com/ru/russian-phonetic-transcription-converter#phonetic_transcription

  12. Kanji, G.K.: 100 Statistical Tests, 3rd edn. SAGE Publications Ltd., Thousand Oaks (2006)

    Book  Google Scholar 

  13. Markovnikov, N.M., Kipyatkova, I.S.: An analytic survey of end-to-end speech recognition systems. SP 3, 77–110 (2018). https://doi.org/10.15622/sp.58.4

  14. Karpov, A.: An automatic multimodal speech recognition system with audio and video information. Autom. Remote Control 75, 2190–2200 (2014). https://doi.org/10.1134/S000511791412008X

    Article  MathSciNet  Google Scholar 

  15. Evsutin, O., Shelupanov, A., Meshcheryakov, R., Bondarenko, D., Rashchupkina, A.: The algorithm of continuous optimization based on the modified cellular automaton. Symmetry 8, 84 (2016). https://doi.org/10.3390/sym8090084

    Article  MathSciNet  Google Scholar 

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Acknowledgments

The study was performed by a grant from the Russian Science Foundation (project 16-15-00038).

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Correspondence to Evgeny Kostuchenko .

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Kostuchenko, E. et al. (2019). The Evaluation Process Automation of Phrase and Word Intelligibility Using Speech Recognition Systems. In: Salah, A., Karpov, A., Potapova, R. (eds) Speech and Computer. SPECOM 2019. Lecture Notes in Computer Science(), vol 11658. Springer, Cham. https://doi.org/10.1007/978-3-030-26061-3_25

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  • DOI: https://doi.org/10.1007/978-3-030-26061-3_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26060-6

  • Online ISBN: 978-3-030-26061-3

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