Abstract
ASR (Automatic Speech Recognition) is an important technology in man-machine interaction. Due to the complexity of natural language, the interference of environment and other factors, the recognition accuracy has low accuracy. This paper analyzes the use cases of speech recognition errors and proposes a text correction and intent recognition method based on the phonation principle and language characteristics peculiar to Chinese, and proposes an improved edit distance method to better calculate the text distance. Through a large number of experiments, this method can improves 22.9% accuracy of text recognition in ASR system.
Author supplied keywords
Cite
CITATION STYLE
Che, J., Chen, H., Zeng, J., & Zhang, L. J. (2018). A Chinese text correction and intention identification method for speech interactive context. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10973 LNCS, pp. 127–134). Springer Verlag. https://doi.org/10.1007/978-3-319-94340-4_10
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
