Title
Multimodal Speaker Recognition in a Conversation Scenario
Abstract
As a step toward the design of a robot that can take part to a conversation we propose a robotic system that, taking advantage of multiple perceptual capabilities, actively follows a conversation among several human subjects. The essential idea of our proposal is that the robot system can dynamically change the focus of its attention according to visual or audio stimuli to track the actual speaker throughout the conversation and infer her identity.
Year
DOI
Venue
2009
10.1007/978-3-642-04667-4_2
ICVS
Keywords
Field
DocType
multiple perceptual capability,human subject,multimodal speaker recognition,robotic system,audio stimulus,robot system,conversation scenario,essential idea,actual speaker,human robot interaction,speaker recognition
Computer vision,Robotic systems,Conversation,Computer science,Support vector machine,Speech recognition,Speaker recognition,Artificial intelligence,Speaker diarisation,Robot,Perception,Human–robot interaction
Conference
Volume
ISSN
Citations 
5815
0302-9743
3
PageRank 
References 
Authors
0.48
7
3
Name
Order
Citations
PageRank
Maria Letizia Marchegiani130.48
Fiora Pirri268494.09
Matia Pizzoli344619.74