Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 4 of 4 for “"missing feature"”.
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Applications of missing feature theory to speaker recognition
… compensation techniques and approaches from missing feature theory for improving Gaussian mixture model (GMM)-based speaker verification under this mismatch condition. Experiments are performed using a speech corpus consisting of "clean" training speech and "dirty" test speech equal to the …
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Noise-Robust Speech Recognition Using Deep Neural Network
… span of speech. Thirdly, we revisited the missing feature theory and developed a DNN-based spectral masking system. Fourthly, an Ideal Hidden-activation Mask (IHM) was proposed to remove noise-prone latent detectors. Lastly, a noise code technique was developed to simulate IHM with reduced …
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Random feature subspace ensemble based approaches for the analysis of data with missing features
<p>Missing data in real world applications is not an uncommon occurrence. It is not unusual for training, validation or field data to have missing features in some (or even all) of their instances, as bad sensors, failed pixels, malfunctioning equipment, unexpected noise causing signal saturation, …
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Statistical Model Based Multi-Microphone Speech Processing: Toward Overcoming Mismatch Problem
… as pre-processing to increase reliability of feature components before the actual speech recognition or model based speech estimation is performed. Also, ideal binary mask (IBM) estimation from the context of the statistical model for ASR can be regarded as an initialization step to exclude …