Abstract

Aiming at increasing system simplicity and flexibility, an audio evoked based system was developed by integrating simplified headphone and user-friendly software design. This paper describes a Hindi Speech Actuated Computer Interface for Web search (HSACIWS), which accepts spoken queries in Hindi language and provides the search result on the screen. This system recognizes spoken queries by large vocabulary continuous speech recognition (LVCSR), retrieves relevant document by text retrieval, and provides the search result on the Web by the integration of the Web and the voice systems. The LVCSR in this system showed enough performance levels for speech with acoustic and language models derived from a query corpus with target contents.

Highlights

  • Information contained on the World Wide Web is inaccessible to many people

  • In order to compare the effectiveness of the HSACIWS system under a scenario of truly limited data resources

  • There is a collection of training and testing data for the HSACIWS system that contained extremely limited amounts of data

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Summary

A Hindi Speech Actuated Computer Interface for Web Search

Dean of Computing Sciences Visvodaya Technical Academy Kavali, Andhra Pradesh, India. Abstract— Aiming at increasing system simplicity and flexibility, an audio evoked based system was developed by integrating simplified headphone and user-friendly software design. This paper describes a Hindi Speech Actuated Computer Interface for Web search (HSACIWS), which accepts spoken queries in Hindi language and provides the search result on the screen. This system recognizes spoken queries by large vocabulary continuous speech recognition (LVCSR), retrieves relevant document by text retrieval, and provides the search result on the Web by the integration of the Web and the voice systems. The LVCSR in this system showed enough performance levels for speech with acoustic and language models derived from a query corpus with target contents

INTRODUCTION
NEED OF INTERFACE
SYSTEM DESIGN
Speech Recognition Module
Morphological Analyzer
Training and Testing Data Scenario for Experiments
Experimental Testing
CONCLUSION
Full Text
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