The article discusses the possibilities and necessity of using a device based on
spectral analysis to detect and correct speech defects in Uzbek-speaking children. The device
relates to medical technology and special pedagogy, can be used in diagnostic studies and
rehabilitation processes related to measuring the correctness of pronunciation after installing
cochlear implants in (Uzbek-speaking) children with hearing loss, to improve hearing and
speech correction in hearing-impaired children, aimed at improving correct pronunciation.
pronunciation, development of hearing and speech. Technically, the visualization of sounding
speech in this complex is achieved by capturing sounds with a microphone, converting them
in an additional device, transmitting a signal to the processor, and then displaying the
components of sounding speech on the device screen in the form of informative images with
animation elements. The display remains on the monitor screen for any time necessary for
the analysis of the activities carried out
The article discusses the possibilities and necessity of using a device based on
spectral analysis to detect and correct speech defects in Uzbek-speaking children. The device
relates to medical technology and special pedagogy, can be used in diagnostic studies and
rehabilitation processes related to measuring the correctness of pronunciation after installing
cochlear implants in (Uzbek-speaking) children with hearing loss, to improve hearing and
speech correction in hearing-impaired children, aimed at improving correct pronunciation.
pronunciation, development of hearing and speech. Technically, the visualization of sounding
speech in this complex is achieved by capturing sounds with a microphone, converting them
in an additional device, transmitting a signal to the processor, and then displaying the
components of sounding speech on the device screen in the form of informative images with
animation elements. The display remains on the monitor screen for any time necessary for
the analysis of the activities carried out
№ | Author name | position | Name of organisation |
---|---|---|---|
1 | Nematov S.K. | prorector | TSTU |
2 | Kamolova Y.M. | scientist | TSTU |
№ | Name of reference |
---|---|
1 | K.K. Tomchuk. “Segmentation of speech signals for tasks of automatic speech processing”, 2017 |
2 | Y.B. Zelenskaya. “The use of the computer program speech viewer ("Visible speech") in the process of speech therapy”, 2003 |
3 | V.V. Savchenko., D.Y. Akatiev. Device for phonetic analysis of speech. “Patent for PM”, 2019. 2 |
4 | Sh.K. Nematov., Y.M. Kamolova. Preprocessing of speech signals for the system of recognition and spectral analysis of speech. “Journal of technical sciences and innovation”, 2022. 215 |
5 | Sh.K. Nematov., Y.M. Kamolova. A computer program based on spectral analysis for speech correction in children. “Journal of physics: conference series”, 2021 |
6 | Sh.K. Nematov., Y.M. Kamolova. “Description of the utility model for the patent” 2022 |
7 | A.V. Ventsov., V.B. Kasevich. Modern models of speech perception: a critical review. “Publishing House”, 1994. 316 |
8 | V.I. Galunov., A.B. Viktorov. “Analytical review on the problem of coding speech signals”, 2005 |
9 | M. Z. Grobman., V. I. Tumarkin. Identification of hidden periodicities and formant analysis of speech. “Pattern recognition: theory and applications”, 2007 |
10 | R.V. Gudonavichyus., P.P. Kemeshis., A.B. Chitavichyus. “Recognition of speech signals by their structural properties”, 2007. 300 |
11 | A.V. Davydov. Signals and linear systems: “Internet publication”, 2009 |
12 | R.K. Potapova. On the typological features of the syllable. “Pattern recognition: theory and applications”, 2007. 296 |
13 | A.N. Prodeus. “Methods of processing acoustic signals: a course of lectures”, 2008 |
14 | L.R. Rabiner., R.V. Shafer., M.V. Nazarov., Y. N. Prokhorov. Digital processing of speech signals: per. from English. “Radio and communication”, 2001. 496 |
15 | L.R. Rabiner., V. Gould. “Theory and application of digital signal processing”, 2008. 848 |
16 | S.Y. Ikonin., D.V. Sarana. System of automatic speech recognition SPIRIT ASR Engine. “Digital signal processing”, 2003 |
17 | N.Y. Sekunov. “Sound processing on the PC”, 2001. 1248 |
18 | A.B. Sergienko. “Digital signal processing: textbook. for universities”, 2003. 604 |