Нутк товушларини таниш алгоритмини ишлаб чикиш
- № 4 (48) 2018
Страницы:
10
–
19
Язык: узбекский
Аннотация
В данной статье описан один из способов распознавания речи узбекского языка. На первом этапе была создана спектрограмма речевого сигнала на основе обработки речевых сигналов в частотной области. На втором этапе была выполнена параметризация на спектрограмме и проведен корреляционный анализ с использованием сравнения речевых звуков.
Ушбу маколада узбек тили нутк товушларини таниш усулларидан бири келтирилган. Биринчи боскичда нутк сигналларини частота сохасида кайта ишлаш асосида спектрограмма тасвирлари косил килинган. Иккинчи боскичда косил килинган спектрограмма тасвирларини дастлабки кайта ишлаш асосида параметрлаш ва улар асосида нутк товушларини бир бири билан солиштиришнинг корреляцион таклил амалга оширилган.
This article outlines the algorithm for speech recognition. The article outlines the stages of the speech spectrogram image. The speech spectrum image is the richest parameter that characterizes speech. High accuracy can be achieved by recognizing the speech in other ways by processing the resulting spectrogram image.Today, many speech recognition algorithms use the speech spectrogram. An important aspect of familiarity with the speech spectrogram is the transition from one-dimensional signal to two-dimensional. The main parameters characterizing the speech during the transition are separated using spectral transformation methods. As the basic parameters, the main tone frequency serves as a form.There are many effective ways to get to knowing speech, and most commonly, this speech is familiar to them through the processing of the spectrogram image. We have already mentioned the familiar ways of using point- to-speech sound, speeches of the speech spectrogram, and the steps to reproduce the image.The article discusses the topics of modern speech recognition algorithms, initial processing methods for speech signals, algorithm of speech spectrogram image generation, stages of spectrum image processing (filtration, site allocation, correlation comparison). Any speech (word or phrase) consists of small phonemes (letters or combination of letters). Given this fact, this article considers the most commonly used phonemes in the Uzbek language, namely, the development of six vowel letters.
Ушбу маколада узбек тили нутк товушларини таниш усулларидан бири келтирилган. Биринчи боскичда нутк сигналларини частота сохасида кайта ишлаш асосида спектрограмма тасвирлари косил килинган. Иккинчи боскичда косил килинган спектрограмма тасвирларини дастлабки кайта ишлаш асосида параметрлаш ва улар асосида нутк товушларини бир бири билан солиштиришнинг корреляцион таклил амалга оширилган.
This article outlines the algorithm for speech recognition. The article outlines the stages of the speech spectrogram image. The speech spectrum image is the richest parameter that characterizes speech. High accuracy can be achieved by recognizing the speech in other ways by processing the resulting spectrogram image.Today, many speech recognition algorithms use the speech spectrogram. An important aspect of familiarity with the speech spectrogram is the transition from one-dimensional signal to two-dimensional. The main parameters characterizing the speech during the transition are separated using spectral transformation methods. As the basic parameters, the main tone frequency serves as a form.There are many effective ways to get to knowing speech, and most commonly, this speech is familiar to them through the processing of the spectrogram image. We have already mentioned the familiar ways of using point- to-speech sound, speeches of the speech spectrogram, and the steps to reproduce the image.The article discusses the topics of modern speech recognition algorithms, initial processing methods for speech signals, algorithm of speech spectrogram image generation, stages of spectrum image processing (filtration, site allocation, correlation comparison). Any speech (word or phrase) consists of small phonemes (letters or combination of letters). Given this fact, this article considers the most commonly used phonemes in the Uzbek language, namely, the development of six vowel letters.