Abstract
Within this work, the application of the criterion based on correlation coefficient for comparative assessment of speech quality in speech rehabilitation for patients after surgical treatment of speech-producing tract oncological diseases is considered. The sequence of the actions intended for receiving comparative assessment of the speech quality by comparison of the sound recordings made before and after operation is considered. As a material for the assessment, a set of syllables from Standard GOST 50840-95 Speech transmission over varies communication channels. Techniques for measurements of speech quality, intelligibility, and voice identification are used. Also, a set of syllables, compiled on the basis of the analysis of most prone to postoperative change phonemes, is used. The previously proposed criteria based on the comparison of the intensity of time-normalized syllable records spectra have a fundamental drawback. They need an additional normalization of signal power. The proposed approach, based on the use of the linear correlation coefficient as a measure of similarity, does not have this drawback. The comparability of the values received using new criterion with the values received using previous version of the criteria is shown. Results of comparison confirm the possibility of the new criterion practical use.
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References
Kaprin, A.D., Starinskiy, V.V., Petrova, G.V.: Status of Cancer Care the Population of Russia in 2014. MNIOI name of P.A. Herzen, Moscow (2015)
Kaprin, A.D., Starinskiy, V.V., Petrova, G.V.: Malignancies in Russia in 2014 (Morbidity and mortality). MNIOI name of P.A. Herzen, Moscow (2015)
Ronzhin, A.L., Karpov, A.A.: Russian voice interface. Pattern Recogn. Image Anal. 17(2), 321–336 (2007)
Standard GOST 50840-95. Speech transmission over varies communication channels. Techniques for Measurements of Speech Quality, Intelligibility and Voice Identification. Publishing Standards, Moscow (1995)
Balatskaya, L.N., Choinzonov, E.L., Chizevskaya, T.Y., Kostyuchenko, E.Y., Meshcheryakov, R.V.: Software for Assessing Voice Quality in Rehabilitation of patients after surgical treatment of cancer of Oral Cavity, Oropharynx and Upper Jaw. Speech and computer. SPECOM 2013. Lect. Notes Comput. Sci. 8113, 294–301 (2013)
Kostyuchenko, E.Y., Meshcheryakov, R.V., Ignatieva, D.I., Pyatkov, A.V., Choinzonov, E.L., Balatskaya, L.N.: 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. Speech and computer. SPECOM 2016. Lect. Notes Comput. Sci. 9811, 287–295 (2016)
Kostyuchenko E.Y., Ignatieva D.I, Meshcheryakov R.V., Pyatkov A.V., Choinzonov E.L., Balatskaya L.N.: Model of system quality assessment pronouncing phonemes. Dyn. Syst. Mech. Mach. (Dynamics) 2016 (2016)
Pearson, K.: Notes on regression and inheritance in the case of two parents. Proc. R. Soc. Lond. 58, 240–242 (1895)
Petrovsky, A.A., Petrovsky, A.A.: A scalable speech and audio coders based on adaptive time-frequency signal analysis. SPIIRAS Proc. 50(1), 55–92 (2017)
Acknowledgements
The study was performed by a grant from the Russian Science Foundation (project 16-15-00038). Special acknowledegments to Professor Mikhail B. Stolbov (ITMO) for idea of using correlation values in our task.
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Kostyuchenko, E., Meshcheryakov, R., Ignatieva, D., Pyatkov, A., Choynzonov, E., Balatskaya, L. (2019). Correlation Criterion in Assessment of Speech Quality in Process of Oncological Patients Rehabilitation After Surgical Treatment of the Speech-Producing Tract. In: Bhatia, S., Tiwari, S., Mishra, K., Trivedi, M. (eds) Advances in Computer Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 759. Springer, Singapore. https://doi.org/10.1007/978-981-13-0341-8_19
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DOI: https://doi.org/10.1007/978-981-13-0341-8_19
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