YoVDO

Real-Time Live Speech-to-Text - Streaming ASR Gradio App with Hugging Face Tutorial

Offered By: 1littlecoder via YouTube

Tags

Hugging Face Transformers Courses Deep Learning Courses Gradio Courses

Course Description

Overview

Build a real-time automatic speech recognition system using Facebook's Wav2Vec2 deep learning model in this applied NLP tutorial. Learn to implement Hugging Face Transformers Pipeline for audio-to-text conversion and create a Python web app with Gradio for live audio transcription. Explore pipeline setup, UI interface components, and state management. Access the provided Colab notebook for hands-on practice and discover related resources, including a guide on deploying Gradio ML apps on Hugging Face Spaces and a detailed blog post on real-time speech recognition. Enhance your NLP skills with additional tutorials, such as YouTube video transcript summarization using Hugging Face Transformers.

Syllabus

Introduction
Pipeline
UI
Interface Components
State


Taught by

1littlecoder

Related Courses

Gradio Course - Create User Interfaces for Machine Learning Models
freeCodeCamp Build a Comment Toxicity Model with Deep Learning and Python
Nicholas Renotte via YouTube Build a Simple Language Translation App Using Python for Beginners
Nicholas Renotte via YouTube Build a Grammar Correction Python App with Gramformer and Gradio
Nicholas Renotte via YouTube Building Machine Learning Applications Fast
HuggingFace via YouTube