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Browsing Theses and Dissertations (Computer Science) by Issue Date

Browsing Theses and Dissertations (Computer Science) by Issue Date

Now showing items 1-20 of 22

Investigation into automatic speech recognition of different dialects of Northern Sotho

Mapeka, Madimetja Asaph (2005)

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A text-to-speech synthesis system for Xitsonga using hidden Markov models

Baloyi, Ntsako (University of Limpopo (Turfloop Campus), 2012)

This research study focuses on building a general-purpose working Xitsonga speech synthesis system that is as far as can be possible reasonably intelligible, natural sounding, and flexible. The system built has to be able ...
Incorporation of syntax and semantics to improve the performance of an automatic speech recognizer

Rapholo, Moyahabo Isaiah (2012)

Automatic Speech Recognition (ASR) is a technology that allows a computer to identify spoken words and translate those spoken words into text. Speech recognition systems have started to be used in may application areas ...
Automatic speech recognition system for people with speech disorders

Ramaboka, Manthiba Elizabeth (2018)

The conversion of speech to text is essential for communication between speech and visually impaired people. The focus of this study was to develop and evaluate an ASR baseline system designed for normal speech to correct ...
The design of a defence mechanism to mitigate the spectrum sensing data falsification attack in cognitive radio ad hoc networks

Ngomane, Issah (2018)

Dynamic spectrum access enabled by cognitive radio networks is envisioned to address the problems of the ever-increasing wireless technology. This innovative technology increases spectrum utility by allowing unlicensed ...
The design and the implementation of the byzantine attack mitigation scheme in cognitive radio ad hoc networks

Mapunya, Sekgoari Semaka (2019)

Cognitive radio network, which enables dynamic spectrum access, addresses the shortage of radio spectrum caused by ever-increasing wireless technology. This allows efficient utilisation of underutilised licenced spectrum ...
The development of accented English synthetic voices

Malatji, Promise Tshepiso (University of Limpopo, 2019)

A Text-to-speech (TTS) synthesis system is a software system that receives text as input and produces speech as output. A TTS synthesis system can be used for, amongst others, language learning, and reading out text for ...
The development of an automatic pronunciation assistant

Sefara, Tshephisho Joseph (2019)

The pronunciation of words and phrases in any language involves careful manipulation of linguistic features. Factors such as age, motivation, accent, phonetics, stress and intonation sometimes cause a problem of inappropriate ...
The automatic recognition of emotions in speech

Manamela, Phuti, John (2020)

Speech emotion recognition (SER) refers to a technology that enables machines to detect and recognise human emotions from spoken phrases. In the literature, numerous attempts have been made to develop systems that can ...
Development of robust language models for speech recognition of under-resourced language

Sindana, Daniel (2020)

Language modelling (LM) work for under-resourced languages that does not consider most linguistic information inherent in a language produces language models that in adequately represent the language, thereby leading to ...
The design and implementation of the routing algorithm optimised for spectrum mobility, routing path delay and node relay delay

Phaswana, Phetho (2020)

Spectrum scarcity is one of the major problems affecting the advancement of wireless technology. The world is now entering into a new era called the “Fourth Industrial Revolution” and technologies like the Internet of ...
The design of an effective extreme controller mechanism scheme for software defined cognitive radio network

Sibanda, Brian (2021)

In Software Defined Cognitive Radio Network (SDCRN), network security is a significant issue. This issue arises when Software Defined Network (SDN) architecture integrates with the Cognitive Radio Network (CRN) technology. ...
Development of a text-independent automatic speaker recognition system

Mokgonyane, Tumisho Billson (2021)

The task of automatic speaker recognition, wherein a system verifies or identifies speakers from a recording of their voices, has been researched for several decades. However, research in this area has been carried out ...
Detecting and mitigating the distributed denial of service attacks in software defined networks using machine learning approach - the integrated random forest and K-nearest neighbours classifiers

Ledwaba, Matlala (2023)

Distributed Denial of Service (DDoS) attacks present substantial risks to network availability and stability, especially within the realm of Software Defined Networks (SDNs). Inventive and efficient detection and mitigation ...
Implementing learning-based (ML-based) hybrid model to mitigate distributed denial of service (DDoS) attacks in mobile edge computing (MEC)

Chaki, Emmanuel Sibusiso (2023)

5G technology constitutes a considerable part of solving the problem of security in mobile communications. Multi-Access Edge Computing or mobile edge computing (MEC) extends the capabilities of cloud computing by locating ...
Detection cerebrovascular disease in brain images using convolutional neural network

Sethibela, Lehlohonolo Bridget (2023)

Cerebrovascular disease is the world's second major cause of mortality and disability, and the fourth major cause of mortality and disability in South Africa. Cerebrovascular disease occurs due to issues of the brain's ...
Prediction of South African crime rate using supervised machine learning techniques

Mutobvu, Ronewa (2023)

Kaggle crime statistics for South Africa were used to create machine learning categorization models. Although the techniques used in the experiments that came before this one differed, the dataset that was used was. The ...
Mitigation of denial of service attacks in software-defined-cognitive radio network using software-defined-cognitive radio shield

Lebepe, Mampuele (2023)

A ground-breaking approach to managing network resources is provided by softwaredefined networks that solve a number of management-related concerns. A novel paradigm called Cognitive Radio Networks (CRN) was developed to ...
Sarcasm detection in political speeches using recurrent neural networks

Mulaudzi, Thikho (2024)

Sarcasm detection is a challenging task in natural language processing (NLP) that has received significant attention in recent years. Sarcasm is a form of indirect speech in which the speaker says the opposite of what ...
Integrated and automated demographic surveillance data quality systems for rural areas

Tlouyamma, Joseph (2024)

The Health and Demographic Surveillance System (HDSS) is a data collection system that can track crucial events such as births, deaths, and migrations in well-defined geographic areas, particularly in low- and middle-income ...

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