Comprehensive Survey on Podcast Summarization in Regional Language

The need for effective material summarization has grown in recent years as podcasts have become a popular and rich source of entertainment and information for people worldwide. This project introduces an advanced technique specifically designed for podcast summarization to address this need. The main goal is to improve users' access to relevant material within podcast episodes. The system utilizes cuttingedge technologies such as Text Summarization and Automatic Speech Recognition (ASR) to translate summaries from English to Hindi, transcribe spoken content, and extract key information. This bilingual, inclusive approach broadens the system's scope. The final stage employs Text-to-Speech (TTS) technology to convert Hindi text summaries into spoken language. This innovative method not only fulfills the current demand for efficient podcast abridgement but also makes a significant contribution to global audio content consumption, paving the way for a new era of entertainment.