Voice Cloning and Speech Generation with AI Training Course

Fundamentals of Speech Synthesis and Voice Cloning

• Introduction to text-to-speech (TTS) and neural voice synthesis
• Distinguishing voice cloning from speech generation: applicable scenarios and limitations
• Key architectural models: Tacotron, WaveNet, FastSpeech, and VITS

Utilizing Commercial Platforms

• Working with ElevenLabs and Resemble AI
• Techniques for voice creation, replication, and editing
• Managing API access and TTS workflows

Developing with Open-Source Tools

• Setup and configuration of Coqui TTS
• Training custom voices and handling datasets
• Producing speech with precise control over pitch, tempo, and emotion

Data Preparation and Voice Dataset Administration

• Acquisition and purification of voice samples
• Process of segmentation, labeling, and transcript alignment
• Ethical data sourcing and obtaining voice consent

Application Integration

• Embedding TTS capabilities into web interfaces and applications
• Designing IVR systems and interactive chatbots
• Generating synthetic dialogue for video content and gaming

Assessing Quality and Realism

• Conducting MOS (Mean Opinion Score) and intelligibility evaluations
• Regulating expressiveness and prosodic features
• Benchmarking latency, fidelity, and auditory realism

Ethical, Legal, and Governance Frameworks

• Addressing deepfake risks and promoting responsible usage
• Managing consent, attribution, and copyright issues
• Navigating regulatory requirements and organizational policies

Conclusion and Future Directions