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3 articles for “Text-to-speech. Python Programming.”
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Empowering Accessibility: A Review of Text-to-Speech Systems for the Visually Impaired with Raspberry Pi
Abstract: The automatic text reader for people who are blind is presented in the paper. built on a Raspberry Pi. It makes use of computer programming and image sensing tools to identify printed characters employing optical character recognition technology. It creates machine-encoded text from an image using text that has been printed, typed, or written by hand. In the present work, text-to-speech synthesis and OCR are used to convert the image …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 1, 2023 · pp. 16–21 Read article
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SpeakEasy: Python’s Desktop Companion for Effortless Interaction
Abstract: With their ability to use natural language processing to enable hands-free technological engagement, voice assistants have become an indispensable aspect of modern living. This paper describes how to create a voice assistant with the Python programming language by utilizing its powerful libraries and frameworks for task automation, speech recognition, and natural language processing. The system architecture makes use of several Python modules, including PyAudio, NLTK (Natural Language Toolkit), and Speech …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 15–23 Read article
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Interview Preparation System Using AI
Abstract: The automated interview evaluation system leverages artificial intelligence (AI) and natural language processing (NLP) technologies to streamline and enhance the interview process. Through a web-based application built with the Flask framework, the system enables candidates to respond to dynamically loaded interview questions using both text and speech inputs. Questions, managed via a CSV (comma separated values) file for flexibility, are evaluated for similarity to expected answers using the rapid fuzz …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 1, 2025 · pp. 8–13 Read article