An evaluation of speech synthesis technology for Nigerian English in urban communication
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Background of the Study
Speech synthesis technology, which converts text into human-like speech, has become increasingly important in enhancing communication in urban settings. In Nigeria, Nigerian English has developed distinct features influenced by local cultures and linguistic practices. The implementation of speech synthesis systems in urban communication platforms such as customer service bots, public announcements, and educational tools is expanding rapidly. Recent technological advancements have led to more natural and intelligible synthetic voices; however, Nigerian English, with its unique phonetic and prosodic characteristics, poses challenges to these systems (Johnson, 2023). Researchers have noted that integrating local linguistic data into speech synthesis models can significantly improve output quality (Smith, 2024). This study evaluates the current state of speech synthesis technology for Nigerian English, examining its performance in urban communication settings and identifying opportunities for further refinement to better serve a diverse population.
Statement of the Problem
Current speech synthesis systems often struggle to accurately reproduce the distinctive features of Nigerian English, leading to synthetic speech that may sound unnatural or ambiguous (Johnson, 2023; Smith, 2024). The lack of localized phonetic training data and contextual adaptability affects the effectiveness of these systems in urban communication, where clear and accurate speech is crucial. This gap undermines the utility of speech synthesis in enhancing accessibility and user experience, necessitating a focused evaluation to identify and address the limitations of current technologies.
Objectives of the Study
- To assess the performance of existing speech synthesis systems for Nigerian English in urban contexts.
- To identify specific phonetic and prosodic challenges faced by these systems.
- To recommend improvements for integrating localized data into speech synthesis models.
Research Questions
- How accurately do current speech synthesis systems reproduce Nigerian English?
- What are the primary challenges in synthesizing the distinctive features of Nigerian English?
- How can localized linguistic data improve speech synthesis performance in urban communication?
Significance of the Study
This study will provide critical insights into the application of speech synthesis technology for Nigerian English in urban environments. Its findings will inform developers and policymakers about the need for culturally adaptive digital tools, thereby enhancing communication accessibility and user experience across urban platforms.
Scope and Limitations of the Study
This study focuses on the evaluation of speech synthesis technology for Nigerian English in urban communication. It does not include other varieties of English or rural communication settings.
Definitions of Terms
- Speech Synthesis: The artificial production of human speech by computers.
- Prosody: The rhythm, stress, and intonation of speech.
- Nigerian English: A variety of English influenced by local Nigerian languages and cultures.
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