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Subject = Speaker recognition;
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Displaying Results 1 - 2 of 2 on page 1 of 1
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Authenticating student work in an e-learning programme via speaker recognition
(2009)
Hayes, Barry; Ringwood, John
Authenticating student work in an e-learning programme via speaker recognition
(2009)
Hayes, Barry; Ringwood, John
Abstract:
The past decade has seen the proliferation of elearning and distance learning programs across a wealth of discipline areas. In order to preserve maximum exibility in outreach, student assessment based exclusively on remotely submitted work has become commonplace. However, there is also growing evidence that e-learning also provides increased opportunity for plagiarism, with obvious consequences for learning effectiveness. This paper reports on the development of a prototype student authentication system, designed for use with a graduate e-learning program. The proposed system can be used to authenticate telephone-based oral examination which can, in turn, be used to conrm a student’s ability in relation to submitted assignments and on-line test results. The prototype low-cost system is shown to be sufciently accurate to act as an effective deterrent against plagiarism.
http://mural.maynoothuniversity.ie/2125/
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Linear program differentiation for single-channel speech separation
(2006)
Pearlmutter, Barak A.; Olsson, Rasmus K.
Linear program differentiation for single-channel speech separation
(2006)
Pearlmutter, Barak A.; Olsson, Rasmus K.
Abstract:
Many apparently difficult problems can be solved by reduction to linear programming. Such problems are often subproblems within larger systems. When gradient optimisation of the entire larger system is desired, it is necessary to propagate gradients through the internally-invoked LP solver. For instance, when an intermediate quantity z is the solution to a linear program involving constraint matrix A, a vector of sensitivities dE/dz will induce sensitivities dE/dA. Here we show how these can be efficiently calculated, when they exist. This allows algorithmic differentiation to be applied to algorithms that invoke linear programming solvers as subroutines, as is common when using sparse representations in signal processing. Here we apply it to gradient optimisation of over complete dictionaries for maximally sparse representations of a speech corpus. The dictionaries are employed in a single-channel speech separation task, leading to 5 dB and 8 dB target-to-interference ratio improve...
http://mural.maynoothuniversity.ie/1376/
Displaying Results 1 - 2 of 2 on page 1 of 1
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