Series in Microelectronics
edited by
Wolfgang Fichtner
Qiuting Huang
Heinz Jäckel
Hans Melchior
George S. Moschytz
Gerhard Tröster
Urs Anliker,
Speaker Separation and Tracking.
2006; VIII, 144 pages. €
64,00. ISBN 3-86628-054-8
Today, social interaction analysis is conducted manually by observers,
by interviews or is restricted to specially equipped rooms. During social
interactions, oral communication is an important, if not the most important
communication modality. For example, speech is the main communication modality
during discussions, meetings and conferences. In this work, a tool is developed
which automatically annotated oral communication as part of social
interactions.
The system design is induced by the vision of a tool which helps to
annotate oral communication anytime and anywhere. Therefore, novel design
constrains for a speaker separation and tracking system are considered. These
constraints imposed by the mobile application are limited number of sensors and
mounting positions, limited computation power, dynamic environment and
simultaneous speech. To address these constraints, a two-step approach is
proposed which combines blind source separation and speaker tracking. To
evaluate different configurations, a benchmark methodology for two-step SSaT
systems is introduced, which considers speaker recognition and computational
load.
Urs Anliker received the Dipl.-Ing. (MSc) degree in electrical
engineering from ETH Zurich, Switzerland, in 2000, and the Dr. sc. ETH Zurich
(PhD) degree in information technology and electrical engineering from the
Swiss Federal Institute of Technology (ETH), Zurich, Switzerland, in 2005. He
joined the Electronics Laboratory at ETH Zurich in 2000 as a research and
teaching assistant in the Wearable Computing Group. His research interests
include low power wearable system design, blind source separation and speaker
identification systems.
Keywords: Blind Source Separation, Speaker Localiztation, Speaker Tracking,
Mobile Application
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