English Speech Feature Recognition-Based Fuzzy Algorithm and Artificial Intelligent

Miao, Yuji; Liu, Haiying; Gu, Shan

doi:10.1155/2022/4421520

Cited by 3 publications

(4 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the article by Miao et al [20], it is developing an algorithm for recognizing digitized English speech and building a model for recognizing its features based on an analysis of the advantages and disadvantages of traditional methods, for example, time-frequency analysis of chaotic and speech signals is used. In this study, when processing speech signals, spectral-temporal and spectral-band analysis were used in parallel, which made it possible to form a trajectory of phonetic features.…”

Section: Using Different Technologies For Phonemic Speech Recognition...mentioning

confidence: 99%

Creation of An Intelligent System for Uzbek Language Teaching Using Phoneme-Based Speech Recognition

Ibragimova

2023

RIA

View full text Add to dashboard Cite

The recent surge in interest to learn the Uzbek language among foreigners has underscored the need for innovative teaching tools. Despite the limited studies on intelligent systems for phonemic speech recognition in the Uzbek context, this research aimed to address this gap. The purpose of this study was to create an intelligent system for teaching the Uzbek language as a foreign language based on the technology of phonemic recognition of speech signals. It was developed an intelligent system for Uzbek language instruction using phonemic speech recognition technology. The approach utilized various methods, including pinpointing challenging phonemes, comparative data analyses, and analytical-synthetic breakdowns of linguistic components, all enhanced by the wavelet transform's signal refinement. The system's precision in recognizing speech signals phoneme-by-phoneme, emphasizing difficult sounds for learners, promises broader AI-driven language study applications. Specifically designed for the Uzbek language, the system achieves an accuracy range of 67% to 95%. This breakthrough not only propels AI-driven language processing but offers a robust tool for improving Uzbek language instruction, especially beneficial for the Turkic language group. Future avenues include its use in computer modeling and automatic speech processing for Turkic languages, solidifying its innovative contribution to AI-driven language teaching.

show abstract

Section: Using Different Technologies For Phonemic Speech Recognition...mentioning

confidence: 99%

Creation of An Intelligent System for Uzbek Language Teaching Using Phoneme-Based Speech Recognition

Ibragimova

2023

RIA

View full text Add to dashboard Cite

show abstract

“…The system divides the sentence into four words as follows: this, is, a, and test [ 11 ]. Determine the form of each word (word form includes the following: original form, noun plural, adjective, adverb comparative, superlative, verb third person singular, verb present form, and past form) [ 12 ]. For example, in the English sentence, I write two words last night, and the form of each word is determined as a prototype, past tense, prototype, noun plural, prototype, and prototype.…”

Section: Introduction To Relevant Technologies Of Intelligent Evaluat...mentioning

confidence: 99%

“…Determine the form of each word (word form includes the following: original form, noun plural, adjective, adverb comparative, superlative, verb third person singular, verb present form, and past form) [ 12 ]. For example, in the English sentence, I write two words last night, and the form of each word is determined as a prototype, past tense, prototype, noun plural, prototype, and prototype.…”

Section: Introduction To Relevant Technologies Of Intelligent Evaluat...mentioning

confidence: 99%

Intelligent Evaluation Algorithm of English Writing Based on Semantic Analysis

Wang¹,

Liu

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

In order to solve the intelligent evaluation of English writing, this paper proposes a method based on the English semantic neural network algorithm. This paper first briefly analyzes the research background of the English semantic analysis system, then expounds on the relevant technologies of the English distance similarity algorithm, semantic analysis intelligent algorithm structure, word analysis algorithm, sentence part of speech analysis algorithm, sentence semantic analysis algorithm, and neural network algorithm, and finally expounds the database and method implementation of the English semantic analysis system, so as to provide guarantee for the design of the English semantic analysis system. The experimental results show that the recognition accuracy of the BRF network for English characters can reach 96.35%, which is 7.79% higher than that of the BP network; the AUC of the BRF network reaches 0.89, which is closer to 1 compared with 0.72 of the BP network. The test results are in good agreement with the antinoise curve test results of the figure. It is proved that the English semantic neural network algorithm can effectively improve the accuracy of English translation and further improve the efficiency of the system.

show abstract

“…Wireless Communications and Mobile Computing has retracted the article titled "English Speech Feature Recognition-Based Fuzzy Algorithm and Artificial Intelligent" [1] due to concerns that the peer review process has been compromised.…”

mentioning

confidence: 99%

Retracted: English Speech Feature Recognition-Based Fuzzy Algorithm and Artificial Intelligent

Computing¹

2023

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

English Speech Feature Recognition-Based Fuzzy Algorithm and Artificial Intelligent

Cited by 3 publications

References 21 publications

Creation of An Intelligent System for Uzbek Language Teaching Using Phoneme-Based Speech Recognition

Creation of An Intelligent System for Uzbek Language Teaching Using Phoneme-Based Speech Recognition

Intelligent Evaluation Algorithm of English Writing Based on Semantic Analysis

Retracted: English Speech Feature Recognition-Based Fuzzy Algorithm and Artificial Intelligent

Contact Info

Product

Resources

About