Sarma, VVS (1978) Design of speaker identification schemes for large number of speakers (A). In: Journal of the Acoustical Society of America, 63 ( S1). S79-S79 .Full text not available from this repository.
Design of speaker identification schemes for a small number of speakers (around 10) with a high degree of accuracy in controlled environment is a practical proposition today. When the number of speakers is large (say 50–100), many of these schemes cannot be directly extended, as both recognition error and computation time increase monotonically with population size. The feature selection problem is also complex for such schemes. Though there were earlier attempts to rank order features based on statistical distance measures, it has been observed only recently that the best two independent measurements are not the same as the combination in two's for pattern classification. We propose here a systematic approach to the problem using the decision tree or hierarchical classifier with the following objectives: (1) Design of optimal policy at each node of the tree given the tree structure i.e., the tree skeleton and the features to be used at each node. (2) Determination of the optimal feature measurement and decision policy given only the tree skeleton. Applicability of optimization procedures such as dynamic programming in the design of such trees is studied. The experimental results deal with the design of a 50 speaker identification scheme based on this approach.
|Item Type:||Editorials/Short Communications|
|Additional Information:||Copyright of this article belongs to American Institute of Physics.|
|Date Deposited:||08 Oct 2010 11:15|
|Last Modified:||08 Oct 2010 11:15|
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