[Retracted] Optimization of Intelligent English Pronunciation Training System Based on Android Platform

Abstract

Oral English, as a language tool, is not only an important part of English learning but also an essential part. For nonnative English learners, effective and meaningful voice feedback is very important. At present, most of the traditional recognition and error correction systems for oral English training are still in the theoretical stage. At the same time, the corresponding high-end experimental prototype also has the disadvantages of large and complex system. In the speech recognition technology, the traditional speech recognition technology is not perfect in recognition ability and recognition accuracy, and it relies too much on the recognition of speech content, which is easily affected by the noise environment. Based on this, this paper will develop and design a spoken English assistant pronunciation training system based on Android smartphone platform. Based on the in-depth study and analysis of spoken English speech correction algorithm and speech feedback mechanism, this paper proposes a lip motion judgment algorithm based on ultrasonic detection, which is used to assist the traditional speech recognition algorithm in double feedback judgment. In the feedback mechanism of intelligent speech training, a double benchmark scoring mechanism is introduced to comprehensively evaluate the speech of the speech trainer and correct the speaker’s speech in time. The experimental results show that the speech accuracy of the system reaches 85%, which improves the level of oral English trainers to a certain extent.

Application of Intelligent Exercise Training Equipment in Clinical Nursing of Neurology Department

“…e motor function of lower limbs can be improved with the Contrast Media & Molecular Imaging increase of muscle strength [11][12][13][14]. Based on the theory of biofeedback and brain plasticity, repeated systematic training can stimulate and promote functional recombination of nerve cells around stroke lesions through axon regeneration, dendrite "germination," and synaptic threshold change; thus, partially damaged brain function can be restored, and the recovery of the central nervous system's autonomous muscle control ability can be promoted [15].…”

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“…As you can see from the graph, The short-term energy of the speech segment is significantly greater than that of the silent segment [12][13].…”

An Empirical Performance Analysis of the Speak Correct Computerized Interface

“…Cao and Hao [20] designed a spoken English assistant pronunciation training model based on the Android mobile application. They proposed a lip movement judgement algorithm focusing on ultrasonic identification.…”