• Talha farooque
• Chandan kumar tiwari
• Vishesh Raj

This review explores the project "Multimodal Natural Language Processing for Hindi," placing a particular emphasis on its inventive approach to text-to-audio conversion using corpus-driven methods. The project's core objective is to narrow the gap between written and spoken Hindi by leveraging multimodal Natural Language Processing (NLP) techniques, specifically focusing on the corpus-driven nature of the text-to-speech (TTS) conversion process. The aim is to enhance accessibility and improve the overall user Experience. In daily life, spoken words and speech play pivotal roles, serving as representations of a language's spoken form. Speech synthesis, or Text-To-Speech (TTS) conversion, involves transforming text messages into spoken equivalents. A Text-To-Speech synthesizer is a computer-based system designed to audibly present written text. This paper zeroes in on a single Text-To-Speech (TTS) system tailored for Indian languages, particularly Hindi, for speech generation. The TTS process typically involves two primary steps: text processing and speech generation. The paper introduces a user-friendly graphical interface developed using Java Swings, designed for converting Hindi text to speech.

Multimodal Natural Language Processing, Hindi Text-to-Audio Conversion, Corpus-Driven Approaches, Text-To-Speech (TTS) Synthesis

"Multimodal Natural Language Processing for Hindi: Text-to-Audio Conversion Using Corpus-driven Approaches"", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 12, page no.b78-b84, December-2023, Available :http://www.jetir.org/papers/JETIR2312110.pdf

"Multimodal Natural Language Processing for Hindi: Text-to-Audio Conversion Using Corpus-driven Approaches"", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 12, page no. ppb78-b84, December-2023, Available at : http://www.jetir.org/papers/JETIR2312110.pdf