Global ETD Search
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Showing 1 to 6 of 6 for “"speech modeling"”.
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Speech Representation Models for Speech Synthesis and Multimodal Speech Recognition
The field of speech recognition has seen steady advances over the last two decades, leading to the accurate, real-time recognition systems available on mobile phones today. In this thesis, I apply speech modeling techniques developed for recognition to two other speech problems: speech synthesis …
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Multimodal Fusion With Applications to Audio -Visual Speech Recognition
… of the intermodal couplings in audio-visual speech recognition and in multichannel biometrics defy a universal fusion method for both applications. For audio-visual speech modeling, we propose a novel sensory fusion method based on the coupled hidden Markov models (CHMMs). The CHMM framework …
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Articulatory features for robust visual speech recognition
This thesis explores a novel approach to visual speech modeling. Visual speech, or a sequence of images of the speaker's face, is traditionally viewed as a single stream of contiguous units, each corresponding to a phonetic segment. These units are defined heuristically by mapping several visually …
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Modeling spontaneous speech variability for large vocabulary continuous speech recognition
… techniques for improved treatment of spontaneous speech variabilities in large vocabulary automatic speech recognition are developed and evaluated on US English conversational speech and spontaneous medical dictations. Two main aspects of spontaneous speech modeling are addressed: The general …
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Probabilistic generative modeling of speech
Speech processing refers to a set of tasks that involve speech analysis and synthesis. Most speech processing algorithms model a subset of speech parameters of interest and blur the rest using signal processing techniques and feature extraction. However, evidence shows that many speech parameters …