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Browsing by Subject "Automatic speech recognition"
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(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 ...
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(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 ...
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Creation of a pronunciation dictionary for automatic speech recognition : a morphological approach (University of Limpopo (Turfloop Campus), 2012)Pronunciation dictionaries or lexicons play an important role in guiding the predictive powers of an Automatic Speech Recognition (ASR) system. As the use of automatic speech recognition systems increases, there is a need ...
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(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 ...
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(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 ...
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Incorporation of syntax and semantics to improve the performance of an automatic speech recognizer (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 ...
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(2005)Refer to the document
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