INTEGRATION OF A VOICE RECOGNITION SYSTEM IN A SOCIAL ROBOT

Human-robot interaction (HRI) 1 is one of the main fields in the study and research of robotics. Within this field, dialogue systems and interaction by voice play an important role. When speaking about human-robot natural dialogue we assume that the robot has the capability to accurately recognize w...

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Vydané v:Cybernetics and systems Ročník 42; číslo 4; s. 215 - 245
Hlavní autori: Alonso-Martín, F., Salichs, Miguel A.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Taylor & Francis Group 01.05.2011
Predmet:
ASR
audition system
automatic speech recognition
Computer programs
computing confidence score
dialogue
Human
human-computer interaction
human-robot interaction
maggie
Mathematical models
microphone system
natural language processing
natural language understanding
personal robot
Recognition
robot audition
Robots
Semantics
social robot
Speech recognition
Voice recognition
ISSN:0196-9722, 1087-6553
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Popis
Shrnutí:Human-robot interaction (HRI) 1 is one of the main fields in the study and research of robotics. Within this field, dialogue systems and interaction by voice play an important role. When speaking about human-robot natural dialogue we assume that the robot has the capability to accurately recognize what the human wants to transmit verbally and even its semantic meaning, but this is not always achieved. In this article we describe the steps and requirements that we went through in order to endow the personal social robot Maggie, developed at the University Carlos III of Madrid, with the capability of understanding the natural language spoken by any human. We have analyzed the different possibilities offered by current software/hardware alternatives by testing them in real environments. We have obtained accurate data related to the speech recognition capabilities in different environments, using the most modern audio acquisition systems and analyzing not so typical parameters such as user age, gender, intonation, volume, and language. Finally, we propose a new model to classify recognition results as accepted or rejected, based on a second automatic speech recognition (ASR) opinion. This new approach takes into account the precalculated success rate in noise intervals for each recognition framework, decreasing the rate of false positives and false negatives. 1 HRI can be defined as the study of humans, robots, and the ways in which they influence each other.
Bibliografia:ObjectType-Article-2
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ISSN:0196-9722
1087-6553
DOI:10.1080/01969722.2011.583593