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Robustness analysis on lattice-based speech indexing approaches with respect to varying recognition accuracies by refined simulations | IEEE Conference Publication | IEEE Xplore

Robustness analysis on lattice-based speech indexing approaches with respect to varying recognition accuracies by refined simulations


Abstract:

We analyze the robustness of different lattice-based speech indexing approaches. While we believe such analysis is important, to our knowledge it has been neglected in pr...Show More

Abstract:

We analyze the robustness of different lattice-based speech indexing approaches. While we believe such analysis is important, to our knowledge it has been neglected in prior works. In order to make up for the lack of corpora with various noise characteristics, we use refined approaches to simulate feature vector sequences directly from HMMs, including those with a wide range of recognition accuracies, as opposed to simply adding noise and channel distortion to the existing noisy corpora. We compare, analyze, and discuss the robustness of several state-of-the-art speech indexing approaches.
Date of Conference: 15-19 December 2008
Date Added to IEEE Xplore: 06 February 2009
ISBN Information:
Conference Location: Goa, India

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