Principles of Machine Learning in Voice Recognition

Sounds carry a huge amount of information of our daily life and physical events. We hear sounds in complex environment and from increased amounts of electric devices, so audio recognition is definitely an important technology in human-computer interaction. In recent years, speech recognition technol...

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Bibliographic Details
Published in2023 2nd International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI) pp. 702 - 706
Main Authors Jiang, Tianyang, Zhu, Yuke, Feng, Haojun
Format Conference Proceeding
LanguageEnglish
Published IEEE 17.10.2023
Subjects
Convolutional Neural Network (CNN)
Convolutional neural networks
Human computer interaction
Linear regression
machine learning
Multilayer Perceptron
Multilayer perceptrons
Random Forest
Recurrent Neural Network (RNN)
Recurrent neural networks
Speech recognition
Surgery
voice recognition
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Summary:Sounds carry a huge amount of information of our daily life and physical events. We hear sounds in complex environment and from increased amounts of electric devices, so audio recognition is definitely an important technology in human-computer interaction. In recent years, speech recognition technology developed rapidly. Summarizing recognition methods is necessary when there are too many methods to choose. This paper introduces some of the advanced technologies, Recurrent Neural Network, Convolutional Neural Network, Linear Regression, Multilayer Perceptron, Random Forest and their principle.
DOI:10.1109/ICDACAI59742.2023.00140