A Public Transportation Query System Based on Automatic Correction for Speech Recognition

Hui Zhang; Yong Qi Wang

doi:10.4028/www.scientific.net/AMM.644-650.4148

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650A Public Transportation Query System Based on...

A Public Transportation Query System Based on Automatic Correction for Speech Recognition

Abstract:

This paper presents our recent work towards the development of a public transportation query system based on speech error correction and natural language processing. The system enhances the accuracy of speech recognition by combining rules and word frequencies. This paper summarizes and classifies the error types of speech recognition in the field of transportation query, and then brings forth a semantic framework and a word-frequency-precedence mechanism with pinyin-text mapping. For the text after correctly recognizing, the system extracts the origin and the destination by forward-search-backward-match algorithm. And it synthesizes the least transferring algorithm and the shortest path algorithm to find a route. So it has characteristics of humanity and intelligence.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

4148-4151

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.4148

Citation:

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Online since:

September 2014

Authors:

Hui Zhang*, Yong Qi Wang

Keywords:

Automatic Correction, Least Transfers, Natural Language Processing, Shortest Path, Speech Recognition Post-Processing, Urban Transportation Query

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* - Corresponding Author

References

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