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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 121 to 130 of 2341 (0.114 seconds)Spelling suggestions: "subject:"attern recognition."" "subject:"battern recognition.""
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Paralinguistic event detection in children's speechRao, Hrishikesh 07 January 2016 (has links)
Paralinguistic events are useful indicators of the affective state of a speaker. These cues, in children's speech, are used to form social bonds with their caregivers. They have also been found to be useful in the very early detection of developmental disorders such as autism spectrum disorder (ASD) in children's speech. Prior work on children's speech has focused on the use of a limited number of subjects which don't have sufficient diversity in the type of vocalizations that are produced. Also, the features that are necessary to understand the production of paralinguistic events is not fully understood. To account for the lack of an off-the-shelf solution to detect instances of laughter and crying in children's speech, the focus of the thesis is to investigate and develop signal processing algorithms to extract acoustic features and use machine learning algorithms on various corpora. Results obtained using baseline spectral and prosodic features indicate the ability of the combination of spectral, prosodic, and dysphonation-related features that are needed to detect laughter and whining in toddlers' speech with different age groups and recording environments. The use of long-term features were found to be useful to capture the periodic properties of laughter in adults' and children's speech and detected instances of laughter to a high degree of accuracy. Finally, the thesis focuses on the use of multi-modal information using acoustic features and computer vision-based smile-related features to detect instances of laughter and to reduce the instances of false positives in adults' and children's speech. The fusion of the features resulted in an improvement of the accuracy and recall rates than when using either of the two modalities on their own.
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| 122 |
Linearisation of analogue to digital and digital to analogue convertersDent, Alan Christopher January 1990 (has links)
No description available.
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| 123 |
Digital signal processing for the analysis of fetal breathing movementsAnsourian, Megeurditch N. January 1989 (has links)
No description available.
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| 124 |
Computational model of visual attention : integrative approachLee, KangWoo January 2003 (has links)
No description available.
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| 125 |
A new neural network based approach to position and scale invariant pattern recognitionMertzanis, Emmanouel Christopher January 1992 (has links)
No description available.
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| 126 |
A quadrilateral-based method for object segmentation and trackingChung, Hing-yip, Ronald., 鍾興業. January 2003 (has links)
published_or_final_version / Electrical and Electronic Engineering / Doctoral / Doctor of Philosophy
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| 127 |
Verification of off-line handwritten signaturesFang, Bin, 房斌 January 2001 (has links)
published_or_final_version / Electrical and Electronic Engineering / Doctoral / Doctor of Philosophy
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| 128 |
Subword units and parallel processing for automatic speech recognitionChong, Michael Wai Hing January 1990 (has links)
No description available.
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| 129 |
The design and implementation of a multiple views 3D object recognition systemHodgetts, Mark Anthony January 1995 (has links)
No description available.
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| 130 |
Automatic speech synthesis using auditory transforms and artificial neural networksTuerk, Christine M. January 1992 (has links)
No description available.
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