Audio signal analysis for classification and source localization in e-learning applications.
Citation:
Deepti Singh, 'Audio signal analysis for classification and source localization in e-learning applications.', [thesis], Trinity College (Dublin, Ireland). Department of Electronic & Electrical Engineering, 2008, pp 181Download Item:
Abstract:
E-learning provides an opportunity for the students in a classroom to receive and participate
in lectures broadcasted from a remote location. For convenience and scalability
it is preferable to have a microphone array instead of an individual microphone per user
to capture the signals. A Direction of Arrival (DOA) system can be used to determine
the angle of arrival of the speech signal so that a camera can be steered in the direction
of the signal source. In a DOA system for e-learning, Time Delay Estimation (TDE)
techniques are suitable to determine the relative time difference between the signals
to reach the microphones in the array. This time difference can be used to find the
Direction of Arrival (DOA) of the signal. This thesis presents a DOA system called
Modified yIN based Doa Estimator for e-leaRning (MINDER).
Author: Singh, Deepti
Advisor:
Boland, FrankQualification name:
Doctor of Philosophy (Ph.D.)Publisher:
Trinity College (Dublin, Ireland). Department of Electronic & Electrical EngineeringNote:
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