Скачать или смотреть Speech-to-Text with Speaker Diarization & Identification | Complete Tutorial

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🎙️ Speech-to-Text Project with Speaker Diarization & Sentiment Analysis 🎙️

In this video, I walk you through my latest Speech-to-Text project, where I implement advanced features like Speaker Diarization, Speaker Identification, Sentiment Analysis and feedback generation. Using WhisperX, I demonstrate how to accurately transcribe speech while identifying and separating individual speakers.

I also integrate Vader for real-time Sentiment Analysis, adding another layer of context to the transcriptions. To enhance the project further, I utilize Groq for handling large language models, making the system robust and efficient.

Whether you're into speech recognition, sentiment analysis, or AI-powered language models, this tutorial will guide you through the entire process.


Key Features:

🗣️ WhisperX for Speech-to-Text and Speaker Diarization

😊 Vader for Sentiment Analysis

🤖 Groq for efficient LLM integration

💻 Practical demonstration and code walkthrough

🔗 Useful Links:

Huggingface: https://huggingface.co/

Groq: https://groq.com/

GitHub Repository: https://github.com/NextGenAIGuy/Speec...

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🔖 Chapters:

00:00 Introduction

00:45 Demo of Speech to Text

03:20 Speaker Diarization

04:07 WhisperX By OpenAI

07:20 Groq For LLM

08:00 Code Explanation

12:58 Sentiment Analysis with Vader

16:04 Speaker Identification

17:56 Feedback Generation