conference-paper

Enhancing Accesibility and Communication Through Text to Speech Conversion

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Text-to-speech (TTS) converters have revolutionized accessibility and communication, particularly for individuals with visual impairments or reading disabilities. By converting written text into spoken language, these tools empower individuals to access information and engage in meaningful interactions. This abstract explores the significance of TTS converters in bridging communication gaps, improving educational outcomes, and enhancing overall quality of life. TTS converters offer a versatile solution for a wide range of applications. In educational settings, they enable students with dyslexia or learning disabilities to access textbooks and assignments independently, fostering a more inclusive learning environment. For individuals with visual impairments, TTS converters provide a valuable tool for reading documents, navigating websites, and interacting with digital content. Additionally, these technologies can be used to create audio versions of books, magazines, and other materials, making them accessible to a broader audience. The advancements in TTS technology have led to significant improvements in the naturalness and clarity of synthesized speech. Modern TTS engines utilize sophisticated algorithms and deep learning techniques to produce more human-like voices, enhancing the listening experience. This progress has expanded the potential applications of TTS converters, including their use in virtual assistants, language learning tools, and entertainment systems. TTS converters have emerged as indispensable tools for enhancing accessibility and communication. By breaking down barriers and providing equal opportunities for individuals with disabilities, these technologies contribute to a more inclusive and equitable society. As TTS technology continues to evolve, It’ll come with greater advancements in natural language processing and speech synthesis, further expanding the possibilities for their application in various domains.

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Publication details

DOI
10.1109/bitcon63716.2024.10985405
OpenAlex
W4410153538
Document type
conference-paper
Language
EN
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