This course aims to teach learners how to master deep voice cloning and speech synthesis using TorToiSe TTS and the OZEN Toolkit. By the end of the course, students will be able to clone voices, generate realistic speech, and fine-tune models for high-quality synthetic speech. The course covers topics such as setting up TorToiSe TTS Fast, data pre-processing with the OZEN Toolkit, training models with DLAS, and optimizing speech synthesis. The intended audience includes tech enthusiasts, data scientists, and individuals interested in voice cloning and speech synthesis technologies.
Master Deep Voice Cloning in Minutes - Unleash Your Vocal Superpowers Locally on Your PC
Software Engineering Courses - SE Courses via YouTube
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
