scholarly journals Application of Fuzzy Mathematics Algorithm in Computer Speech Recognition

2021 ◽  
Vol 2136 (1) ◽  
pp. 012048
Author(s):  
Xuan Zhou
Keyword(s):  
Artificial Intelligence ◽  
Speech Recognition ◽  
Fuzzy Mathematics ◽  
Practical Application ◽  
Mathematical Algorithm ◽  
Speech Recognition Technology ◽  
Modern Development ◽  
Low Degree ◽  
Computer Speech

Abstract Speech recognition, as one of the key artificial intelligence technologies in modern development, plays an important role in any aspect. However, there are still problems in practical application, such as poor anti-interference and low degree of perfection. Therefore, this paper aims at the content of existing computer speech recognition technology, grasps fuzzy mathematical algorithm, and analyzes how to use this algorithm to better study computer speech recognition.

Artificial intelligence speech recognition model for correcting spoken English teaching

2020 ◽  
pp. 1-12
Author(s):  
Duan Ran ◽  
Wang Yingli ◽  
Qin Haoxin
Keyword(s):  
Artificial Intelligence ◽  
Speech Recognition ◽  
Basic Knowledge ◽  
Correction Model ◽  
Spoken English ◽  
Speech Recognition Technology ◽  
Intelligence Models ◽  
Artificial Intelligence Models ◽  
Important Direction ◽  
And Training

Artificial intelligence speech recognition technology is an important direction in the field of human-computer interaction. The use of speech recognition technology to assist teachers in the correction of spoken English pronunciation in teaching has certain effects and can help students without being constrained by places, time and teachers. Based on artificial intelligence speech recognition technology, this paper improves and analyzes speech recognition algorithms, and uses effective algorithms as the system algorithms of artificial intelligence models. Meanwhile, based on phoneme-level speech error correction, after introducing the basic knowledge, construction and training of acoustic models, the basic process of speech cutting, including the front-end processing of speech and the extraction of feature parameters, is elaborated. In addition, this study designed a control experiment to verify and analyze the artificial intelligence speech recognition correction model. The research results show that the method proposed in this paper has a certain effect.

scholarly journals An overview of speech recognition and its challenges

2015 ◽  
Vol 1 (1) ◽  
pp. 91-100
Author(s):  
Banumathi A C ◽  
Chandra E
Keyword(s):  
Artificial Intelligence ◽  
Speech Recognition ◽  
Emerging Technology ◽  
Smart Phones ◽  
Speech Recognition Technology ◽  
Wide Range ◽  
Recognition Systems ◽  
Almost All ◽  
Medical Healthcare ◽  
The Impact

Speech Recognition means converting Speech into Text. This Emerging Technology makes all the field of use as more sophisticated one. The impact of this revolutionary Technology has shown its wide range of usage in all tasks. Almost all the Technical devices use the Speech recognition as their part of their project. Speech Recognition Technology used in fields like computers, artificial Intelligence, Medical , Healthcare, Smart Phones, etc., This paper provides a glimpse of the challenges that is faced by the speech recognition systems in many applications and the approaches taken to fulfill it.

scholarly journals Intelligent Correction System of Students’ English Pronunciation Errors Based on Speech Recognition Technology

2021 ◽  
Vol 18 ◽  
pp. 192-198
Author(s):  
Meili Dai
Keyword(s):  
Speech Recognition ◽  
Correction Function ◽  
Practical Application ◽  
Speech Recognition Technology ◽  
English Pronunciation ◽  
Calculation Results ◽  
Execution Environment ◽  
Voice Data ◽  
Software Execution ◽  
Correction System

With the increasingly frequent international exchanges, English has become a common language for communication between countries. Under this research background, in order to correct students’ wrong English pronunciation, an intelligent correction system for students’ English pronunciation errors based on speech recognition technology is designed. In order to provide a relatively stable hardware correction platform for voice data information, the sensor equipment is optimized and combined with the processor and intelligent correction circuit. On this basis, the MLP (Multilayer Perceptron) error correction function is defined, with the help of the known recognition confusion calculation results, the actual input speech error is processed by gain mismatch, and the software execution environment of the system is built. Combined with the related hardware structure, the intelligent correction system of students’ English pronunciation error based on speech recognition technology is successfully applied, and the comparative experiment is designed the practical application value of the system is highlighted.

PENERAPAN TEKNOLOGY SPEECH RECOGNITION UNTUK LATIHAN PRONUNCIATION BAHASA INGGRIS MELALUI METODE DICTATION DI PROGRAM STUDI MULTIMEDIA BROADCASTING POLITEKNIK ELEKTRONIKA NEGERI SURABAYA

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Aliv Faizal M ◽  
Akhmad Alimudin
Keyword(s):  
Student Achievement ◽  
Speech Recognition ◽  
Training Sequence ◽  
English Learning ◽  
Motivation To Learn ◽  
Study Program ◽  
Face To Face ◽  
Track Record ◽  
Speech Recognition Technology ◽  
English Pronunciation

English pronunciation has long been taught through the delivery of phonetic symbols to study the sound of each phoneme in English. In Multimedia Broadcasting study program at Surabaya State Electronics Polytechnic, pronunciation has long been delivered to the students through guidebooks in the form of phonetic symbols that teach basic sound pronunciation in English. English teachers practice the sound of each phoneme directly to thestudents. After going through various observations based on the track record of student achievement of this pronunciation material, I as a teacher as well as researcher found that my student achievement was less than the desired target. This was due to the limited source of English pronunciation learning where students only learned face-to-face in the classroom. Through the use of English learning media of pronunciation interactively using speech recognition technology, it was expected that Multimedia Broadcasting course students in Surabaya State Electronics Polytechnic could improve their English pronunciation ability. After students complete the English pronunciation training sequence using pronunciation application using speech recognition technology, the data from the interview stated that the students felt more confident and improved their pronunciation ability and also felt the increased motivation to learn English pronunciation using English pronunciation learning app using speech recognition technology.Keywords: English pronunciation, teaching, multimedia, speech recognition technology, and pronunciation app.

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