2024年3月10日发(作者：敬玉环)
人工智能辅助下的自动化语音评测技术（英文中文双语版优
质文档）
Automated speech evaluation technology refers to the process
of using computer and artificial intelligence technology to
evaluate human speech. With the continuous development of
artificial intelligence technology, automated speech
evaluation technology has been widely used. This article will
discuss in depth the automated speech evaluation technology
assisted by artificial intelligence, including technical principles,
application scenarios, and future development trends.
1. Technical principle
The core technology of automated speech evaluation
technology is speech signal processing and artificial
intelligence technology. Its main process includes the steps of
speech signal acquisition, preprocessing, feature extraction
and evaluation.
First of all, voice signal acquisition requires the use of specific
equipment or software to record human voice, and convert
the voice signal into a digital signal for computer processing.
Secondly, speech signal preprocessing is mainly to perform
noise reduction, filtering, noise removal and other processing
on the original speech signal to improve the accuracy and
stability of subsequent processing.
Then, feature extraction is an important part of automated
speech evaluation technology. It mainly analyzes speech
signals and extracts speech features, such as speech frequency,
volume, pitch, etc., for subsequent model training and
evaluation.
Finally, evaluation is the ultimate goal of automated speech
evaluation technology, which mainly uses artificial intelligence
technology to analyze and judge speech signals, evaluate the
quality and accuracy of speech, and provide corresponding
feedback and improvements.
2024年3月10日发(作者：敬玉环)
人工智能辅助下的自动化语音评测技术（英文中文双语版优
质文档）
Automated speech evaluation technology refers to the process
of using computer and artificial intelligence technology to
evaluate human speech. With the continuous development of
artificial intelligence technology, automated speech
evaluation technology has been widely used. This article will
discuss in depth the automated speech evaluation technology
assisted by artificial intelligence, including technical principles,
application scenarios, and future development trends.
1. Technical principle
The core technology of automated speech evaluation
technology is speech signal processing and artificial
intelligence technology. Its main process includes the steps of
speech signal acquisition, preprocessing, feature extraction
and evaluation.
First of all, voice signal acquisition requires the use of specific
equipment or software to record human voice, and convert
the voice signal into a digital signal for computer processing.
Secondly, speech signal preprocessing is mainly to perform
noise reduction, filtering, noise removal and other processing
on the original speech signal to improve the accuracy and
stability of subsequent processing.
Then, feature extraction is an important part of automated
speech evaluation technology. It mainly analyzes speech
signals and extracts speech features, such as speech frequency,
volume, pitch, etc., for subsequent model training and
evaluation.
Finally, evaluation is the ultimate goal of automated speech
evaluation technology, which mainly uses artificial intelligence
technology to analyze and judge speech signals, evaluate the
quality and accuracy of speech, and provide corresponding
feedback and improvements.