Browse Dissertations and Theses - Electrical and Computer Engineering by Contributor "Hasegawa-Johnson, Mark"

  • Bryan, Jacob (2019-04-05)
    This dissertation presents the development of sensorimotor primitives as a means of constructing a language-agnostic model of speech communication. Insights from major theories in speech science and linguistics are used ...

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  • Shi, Honghui (2017-12-05)
    Deep learning has achieved great success in recent years in computer vision and its related areas. For core computer vision tasks such as image classification, image semantic segmentation, image super-resolution, and object ...

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  • Yeh, Raymond A (2021-04-21)
    In this work, we study models which explicitly capture and learn structures from data. For the task of supervised and unsupervised textual grounding, we propose a unified framework which links words to image concepts. A ...

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  • Ramnath, Kiran (2021-04-27)
    Humans have a remarkable capability to learn new concepts, process them in relation to their existing mental models of the world, and seamlessly leverage their knowledge and experiences while reasoning about the outside ...

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  • Liu, Xianming (2016-11-16)
    With the development of deep neural networks, especially convolutional neural networks, computer vision tasks rely on training data to an unprecedented extent. As the network goes deeper and wider, the demand for high ...

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  • Serwy, Roger David (2017-04-07)
    The 2 pi discontinuities found in the wrapped Hilbert phase of the bandpass-filtered analytic DEGG signal provide accurate candidate locations of glottal closure instances (GCIs). Pruning these GCI candidates with an ...

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  • Khorrami, Pooya Rezvani (2017-03-29)
    As technological systems become more and more advanced, the need for including the human during the interaction process has become more apparent. One simple way is to have the computer system understand and respond to the ...

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  • Xu, Ning (2017-12-06)
    Image and video object selection present fundamental research problems in the computer vision field and have many practical applications. They are important technologies in image and video editing, film production, robotics ...

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  • Yang, Yi (2019-12-12)
    This thesis presents a method to generate emotional captions of images. An adequate caption should precisely describe the contents in an image. While humans can readily identify the most emotionally salient aspects of an ...

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  • Sakakini, Tarek (2021-04-09)
    With the progress of natural language processing in the biomedical field, the lack of annotated data due to regulations and expensive labor remains an issue. In this work, we study the potential of knowledge bases for ...

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  • Han, Wei (2019-04-18)
    The development of deep neural networks has taken two directions. On one hand, the networks become deeper and wider, employing drastically more model parameters and consuming more training data. On the other hand, the ...

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  • Wang, Jiangping (2017-07-06)
    This dissertation studies two aspects of feature learning: representation learning and metric in feature space, from a machine learning perspective. Feature learning is a fundamental problem in computer vision and machine ...

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  • Sari, Leda (2021-04-05)
    In recent years, deep neural network models gained popularity as a modeling approach for many speech processing tasks including automatic speech recognition (ASR) and spoken language understanding (SLU). In this dissertation, ...

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  • Zhu, Tianyilin (2017-04-24)
    Lip reading is the process of speech recognition from solely visual information. The goal of this thesis is to perform a silence vs. speech classification, and to recognize the triphone spoken by a talking head, given only ...

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  • Chen, Wenda (2019-07-02)
    Spoken Language Understanding for both rich-resource languages (RRL) and low-resource languages (LRL) is an important research area for academia and the commercial world. In the conversational situations where either the ...

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  • Cole, Cliston Luther (2017-07-12)
    One of the goals of the Human Speech Recognition (HSR) group is to understand the strategy of the hearing-impaired (HI) ear in detecting consonants. It has been uniformly assumed that audibility is the main factor in speech ...

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  • Traa, Johannes (2016-10-10)
    Audio source separation is a well-known problem in the speech community. Many methods have been proposed to isolate speech signals from a multichannel mixture. In this thesis, we will explore a number of techniques involving ...

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  • Donmez, Mehmet Ali (2017-12-03)
    We investigate robustness and reliability in decision-making systems and algorithms based on the tradeoff between cost and performance. We propose two abstract frameworks to investigate robustness and reliability concerns, ...

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  • Wu, Ningkai (2020-05-14)
    The thesis is a replication of the work by Takaaki Hori and his colleagues (2019), which introduces a new method to train end-to-end automatic speech recognition (ASR) models using unpaired speech. In general, large amounts ...

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  • Yang, Yingzhen (2016-12-02)
    Similarity is the extent to which two objects resemble each other. Modeling similarity is an important topic for both machine learning and computer vision. In this dissertation, we first propose a discriminative similarity ...

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