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Titel:

Robotic Sound Source Separation using Independent Vector Analysis

Dokumenttyp:
Report / Forschungsbericht
Autor(en):
Rothbucher, Martin; Denk, Christian; Reverchon, Martin; Shen, Hao; Diepold, Klaus
Abstract:
Beside haptic and vision, mobile robotic platforms are equipped with audition in order to autonomously navigate and interact with their environment. Speaker and speech recognition as well as the recognition of different kind of sounds are vital tasks for human robot interaction. In situations where more than one sound source is active, the mixture has to be separated before being passed to the reasoning unit. Independent Component Analysis (ICA) has been proposed to solve the blind source separa...     »
Dewey Dezimalklassifikation:
620
Beauftragende Einrichtung:
Technische Universität München, Lehrstuhl für Datenverarbeitung
Jahr:
2014
Jahr / Monat:
2014-03
Monat:
Mar
Sprache:
en
TUM Einrichtung:
Lehrstuhl für Datenverarbeitung
Format:
Text
 BibTeX