Embark on a comprehensive tutorial exploring the cutting-edge world of voice cloning and speech synthesis using TorToiSe TTS, an open-source tool. Learn to clone voices and generate realistic speech locally on your PC through step-by-step guidance. Master data preprocessing with OZEN Toolkit, train models using DL-Art-School (DLAS), and optimize performance with TorToiSe TTS Fast. Discover techniques for merging audio files, interpreting training progress, and fine-tuning models for high-quality synthetic speech. Explore additional features like Adobe Podcast integration for sound quality improvement, automatic speech synthesis, and low VRAM settings for weaker GPUs. By the end, gain the skills to create lifelike voice clones indistinguishable from the original.
Master Deep Voice Cloning in Minutes - Unleash Your Vocal Superpowers Locally on Your PC
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Overview
Syllabus
Introduction to Deep Voice Cloning Tutorial with a cloned voice
Preparing speech training data by installing and using OZEN Toolkit
How to merge multiple audio files into a single audio file
Installing DL-Art-School DLAS to do voice training and cloning with Tortoise TTS
Setting up DLAS training interface
Explanation of what is batch size, step count and epoch count
Explanation of iteration count, epoch number and loss value during training
Display loss values during training as a graph
Starting speech synthesis after training has been completed
How to install Tortoise TTS Fast library
How to use speech synthesizing commands with Tortoise TTS Fast
Fix inference.py file for my custom easy script to work
How to use Adobe Podcast to improve speech sound quality
How to automatically synthesize speech with drag and drop
Low VRAM settings for weaker GPUs
Automatic checkpoint comparison script
Latest versions of all scripts
Taught by
Software Engineering Courses - SE Courses
