Global ETD Search
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Showing 1 to 3 of 3 for “"Gaussian Mixture Modeling"”.
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Molecular Code Division Multiple Access: Gaussian Mixture Modeling
… the received molecular signal is modeled as a Gaussian mixture distribution when the MC system undergoes Brownian noise and inter-symbol interference (ISI). This novel approach demonstrates a suitable modeling for diffusion-based MC system. Using the proposed Gaussian mixture model, a simple …
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Large-margin Gaussian mixture modeling for automatic speech recognition
… and compares the performance of the proposed modeling scheme with existing discriminative methods such as minimum classification error (MCE) training. Experiments are performed on a standard phonetic classification task and a large vocabulary speech recognition (LVCSR) task. In the phonetic …
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When Should Model Updates Propagate?
… an information-theoretic metric grounded in Gaussian mixture modeling (GMM) of embedding distributions, capturing deeper representational shifts. Our proposed approach precisely distinguishes when deletions require downstream retraining, achieving high predictive accuracy and recall without …