Research on English Vocabulary and Speech Corpus Recognition Based on Deep Learning

Abstract

In order to investigate how to recognize English words and speech corpus, an English vocabulary and English speech recognition model based on deep learning algorithm was proposed. Through recommending key technical problems and solutions based on deep learning algorithm, how to realize the recognition of English vocabulary and speech corpus was investigated. In the research, the accuracy of the method on the English vocabulary and speech corpus recognition based on the deep learning algorithm increased 79% over the previous methods. Combined with the principle of the deep automatic encoder and deep learning algorithm, the research emphasis was on the effects of speech recognition framework for speech corpus. The speech recognition research based on the theory of deep learning not only had a theoretical guidance meaning but also had the use value in the practical application.

Deep Learning for Structural Health Monitoring: Data, Algorithms, Applications, Challenges, and Trends

“…Compared with traditional ML, DL is capable of automatic feature extraction and is suitable for processing other high-dimensional data such as images, video, and audio. Therefore, DL is used in various fields, such as speech recognition [29,30], machine translation [31,32], image classification [33,34], etc. In addition, DL has also been applied to SHM to identify, locate, and evaluate various damages by extracting advanced damage features from data such as pictures and vibration signals [15,35,36].…”