Speech Recognition via STT API for Autonomous Mobile Robot

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F14%3APU111642" target="_blank" >RIV/00216305:26210/14:PU111642 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1109/MECHATRONIKA.2014.7018326" target="_blank" >http://dx.doi.org/10.1109/MECHATRONIKA.2014.7018326</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/MECHATRONIKA.2014.7018326" target="_blank" >10.1109/MECHATRONIKA.2014.7018326</a>

Result language

čeština

Original language name

Speech Recognition via STT API for Autonomous Mobile Robot

Original language description

This paper deals with speech recognition system based on STT API (Speech To Text Application Programming Interface), which was mainly designed for mobile robots Human-Machine interface. This paper is based on preliminary work where one word commands were used. The solution presented in this paper uses the pre-learned database with Bayesian approach. This solution increases the success rate in command recognition against to use plain STT API itself. The major extension of previous work is recognition of whole sentences instead of one single word command. Experimental results with complete sentences are presented in this paper.

Czech name

Speech Recognition via STT API for Autonomous Mobile Robot

Czech description

This paper deals with speech recognition system based on STT API (Speech To Text Application Programming Interface), which was mainly designed for mobile robots Human-Machine interface. This paper is based on preliminary work where one word commands were used. The solution presented in this paper uses the pre-learned database with Bayesian approach. This solution increases the success rate in command recognition against to use plain STT API itself. The major extension of previous work is recognition of whole sentences instead of one single word command. Experimental results with complete sentences are presented in this paper.

Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

16th International Conference on Mechatronics – Mechatronika 2014

ISBN

978-80-214-4816-2

ISSN

—

e-ISSN

—

Number of pages

6

Pages from-to

594-599

Publisher name

Brno University of technology

Place of publication

Neuveden

Event location

Brno

Event date

Dec 3, 2014

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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