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.
Results
Showing 1 to 20 of 24 for “"language recognition"”.
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Speaker Verification and Language Recognition
L'abstract è presente nell'allegato / the abstract is in the attachment
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Robust appearance based sign language recognition
… we introduce a robust appearance-based sign language recognition system which is derived from a large vocabulary speech recognition system. The system employs a large variety of methods known from automatic speech recognition research for the modeling of temporal and language specific issues. …
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Beyong lexical meaning : probabilistic models for sign language recognition
… simultaneously expressed concepts in sign language gestures. These gestures communicate not just the lexical meaning but also grammatical information, i.e. inflections that are expressed through systematic spatial and temporal variations in sign appearance. In this thesis we present a new …
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American Sign Language Recognition Using Machine Learning and Computer Vision
… use other media of communication such as sign language. Although sign language is ubiquitous in recent times, there remains a challenge for non-sign language speakers to communicate with sign language speakers or signers. With recent advances in deep learning and computer vision there has been …
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Overcoming resource limitations in the processing of unlimited speech : applications to speaker and language recognition
… these two themes in the context of speaker and language recognition. First, we consider the problem of adapting an existing algorithm for speaker recognition to a systematic change in our input domain. Then we undertake the scenario in which we start with only unlabeled data and are allowed to …
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A framework for sign language recognition using support vector machines and active learning for skin segmentation and boosted temporal sub-units
… new techniques that can be used in a sign language recognition (SLR) system, and more generally in human gesture systems. Any SLR system consists of three main components: Skin detector, Tracker, and Recognizer. The skin detector is responsible for segmenting skin objects like the face and …
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QUANTUM AND TRANSLUCENT PARADIGMS IN AUTOMATA THEORY: A STUDY ON COMPUTATIONAL CAPABILITIES
… power, with particular emphasis on unary language recognition. Frameworks for recognising unary languages by Latvian QFAs (LQFAs) and QFAs with Control Language (QFCs) are developed. Moreover, decidability questions related to periodicity in measure-once QFAs, measure-many QFAs, LQFAs, and …
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Computational Models for the Automatic Learning and Recognition of Irish Sign Language
… thesis presents a framework for the automatic recognition of Sign Language sentences. In previous sign language recognition works, the issues of; user independent recognition, movement epenthesis modeling and automatic or weakly supervised training have not been fully addressed in a single …
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Nicht-intrusive Mimikanalyse
… useful for many application areas, as e.g. language recognition, special control or medical engineering. In the called areas it is desirable to extract the essential features of human face (head-pose, the location of eye-brows, the gaze, and mouth) contactless and to interpret them …
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Automatic real-time facial expression recognition for signed language translation
… vision techniques designed to increase both the recognition accuracy and computational efficiency of automatic facial expression recognition. In particular, we compared a local segmentation of the face around the mouth, eyes, and brows to a global segmentation of the whole face. Our results …
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Accelerating the parsing process with an Application Specific VLSI RISC processor
… of specialised hardware used to accelerate the recognition and translation of computer programs expressed in a range of computer languages. This investigation focuses specifically on the twin processes of parsing and lexical analysis. The research described was carried out in two areas namely, …
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Finite automata on unranked trees : extensions by arithmetical and equality constraints
… of arithmetical constraints with respect to language recognition, and we show that the emptiness problem for this automaton model is decidable. In the second part of this thesis, we introduce automata on unranked trees that are equipped with equality and disequality constraints between direct …
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The Relationship between the Irish Sign Language Campaign and the Irish Deaf Community
… explore the relationship between the Irish Sign Language Recognition campaign and the Irish Deaf community. The dissertation reviews the literature theories of Deafhood, social activism and language rights; applying the theories into the analysis of the findings. The purpose of the exploration of …
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Machine Learning Techniques for Gesture Recognition
… the skin, and used for prosthetic control, sign language recognition, human machine interface, and a myriad of other applications. In order to move a step closer to these goal applications, this thesis compares three different machine learning tools, which include Hidden Markov Models (HMMs), …
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The Evolutionary Origins of Autism Associated Genes and Their Role in Great Ape Socio-Communicative Behavior
… aggression, as well as social bonding and recognition. FOXP2 is one of the first genes to be associated with both speech and language recognition in humans. All 3 genes are strongly associated with autism and are involved with socio-communicative behavior. At the same time, all 3 have been …
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Acoustic Approaches to Gender and Accent Identification
… research on the problems of speaker and language recognition from samples of speech. A less researched problem is that of accent recognition. Although this is a similar problem to language identification, di�erent accents of a language exhibit more fine-grained di�erences between classes …
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The application of manifold based visual speech units for visual speech recognition
… to as a Visual Speech Unit for visual speech recognition (VSR). The automated recognition of human speech using only features from the visual domain has become a significant research topic that plays an essential role in the development of many multimedia systems such as audio visual speech …
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