Speech recognition for robotic vehicle using multi regional language

LIKHITH K R; MALLIKARJUN M; ANAND PAWAR; PRATHEEKA M; Zuhaib baig

Speech recognition for robotic vehicle using multi regional language

Authors: LIKHITH K R, MALLIKARJUN M, ANAND PAWAR , PRATHEEKA M, Zuhaib baig

Unique Paper ID: 149827
Volume: 7
Issue: 1
PageNo: 770-774

Keywords: No Keywords Found

Abstract:
The term "robot" for the most part implies some (human-like) appearance exploration instituted some examination issues for creating humanoid robot and one of the noteworthy examination issues is to create machine that have human-like discernment. How is human observation? - The five established human sensors - vision, hearing, touch, smell and taste; by which they percept the encompassing scene. The fundamental objective of our undertaking is to present "hearing" sensor furthermore the discourse union to the Mobile robot such that it is competent to connect with human through Spoken Natural Language (NL). Discourse acknowledgment (SR) is a noticeable innovation, which helps us to present "hearing" and Natural Language (NL) interface through Speech for the Human-Robot communication. So the guarantee of human robot is beginning to wind up a reality. We have picked Mobile Robot, since this kind of robot is getting prominent as an administration robot in the social setting, where the fundamental test is to interface with human. Two sort of methodology have been decided for Voice User Interface (VUI) execution - utilizing a Hardware SR framework and another, utilizing a Software SR framework. We have taken after Hybrid engineering for the general apply autonomy outline and correspondence with the SR framework; likewise made the punctuation for the discourse, which is decided for the automated exercises in his field. The configuration and both usage methodologies are exhibited in this report. One of the vital objectives of our task is to present appropriate UI for tenderfoot client and our test arrangement is planned by our undertaking objectives; so we have likewise directed an ease of use assessment of our framework through learner clients. We have performed tests with straightforward and complex sentences for various sorts of apply autonomy exercises; furthermore broke down the test result to discover the issues and confinements. This report exhibits all the test outcomes and the discoveries, which we have accomplished all through the venture.

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ISSN: 2349-6002
Volume: 7
Issue: 1
PageNo: 770-774

Speech recognition for robotic vehicle using multi regional language

Available:https://ijirt.org/Article?manuscript=149827

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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