TalkifyPy: The Pythonic Voice Assistant

Recent years have witnessed tremendous developments in text-to-speech (TTS) technology, which is now essential for a wide range of applications, such as virtual assistants, entertainment, and accessibility solutions. This proposed system provides a thorough introduction to Python- based text-to-speech synthesis. The use of Python libraries for Text-to-Speech (TTS) is described in the paper, with particular emphasis on gTTS (Google Text-to-Speech) and pyttsx3 packages. It provides a step-by-step tutorial for creating a rudimentary TTS system while exploring the underlying ideas and techniques of TTS synthesis. The study also examines the difficulties and prospective applications of TTS technology in the future, highlighting its potential for advancement and incorporation into a range of practical uses. The study explores the technical aspects of Python-based TTS systems implementation, empowering developers to comprehend and make efficient use of these instruments. The suggested TTS system is made simple to replicate and integrate into a variety of techniques by providing code examples and real-world applications. This study article is to support the development and broad implementation of TTS technology, promoting innovation in the domain of natural language processing and human-computer interaction, by offering a thorough examination of TTS synthesis with Python.

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Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1109/acet61898.2024.10730081
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

TalkifyPy: The Pythonic Voice Assistant

Saurabh Gautam, Amrit Raj, Amit Goyal, Anjali Kumari et al.
AI in Service Interactions
article

TalkifyPy: The Pythonic Voice Assistant

Saurabh Gautam, Amrit Raj, Amit Goyal, Anjali Kumari, Ishita, Dhruv Raghuvanshi
article en

Abstract

Recent years have witnessed tremendous developments in text-to-speech (TTS) technology, which is now essential for a wide range of applications, such as virtual assistants, entertainment, and accessibility solutions. This proposed system provides a thorough introduction to Python- based text-to-speech synthesis. The use of Python libraries for Text-to-Speech (TTS) is described in the paper, with particular emphasis on gTTS (Google Text-to-Speech) and pyttsx3 packages. It provides a step-by-step tutorial for creating a rudimentary TTS system while exploring the underlying ideas and techniques of TTS synthesis. The study also examines the difficulties and prospective applications of TTS technology in the future, highlighting its potential for advancement and incorporation into a range of practical uses. The study explores the technical aspects of Python-based TTS systems implementation, empowering developers to comprehend and make efficient use of these instruments. The suggested TTS system is made simple to replicate and integrate into a variety of techniques by providing code examples and real-world applications. This study article is to support the development and broad implementation of TTS technology, promoting innovation in the domain of natural language processing and human-computer interaction, by offering a thorough examination of TTS synthesis with Python.

Chandigarh University (IN)
Openalex Percentile: Top 83%
AI in Service Interactions
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