Voice Cloning and Speech Generation with AI Training Course

Foundations of Speech Synthesis and Voice Cloning

• Overview of text-to-speech (TTS) and neural voice synthesis mechanisms
• Distinguishing voice cloning from speech generation: use cases and limitations
• Key architectural models: Tacotron, WaveNet, FastSpeech, VITS

Utilizing Commercial Platforms

• Hands-on usage of ElevenLabs and Resemble AI
• Techniques for voice creation, cloning, and refinement
• Managing API access and text-to-speech workflows

Developing with Open-Source Solutions

• Installation and configuration of Coqui TTS
• Training custom voices and optimizing dataset management
• Generating speech with precise control over pitch, speed, and emotion

Data Curation and Voice Dataset Administration

• Strategies for collecting and cleaning voice samples
• Processes for segmenting, labeling, and transcript alignment
• Ethical sourcing standards and voice consent protocols

Integration into Applications

• Embedding TTS capabilities into websites and software applications
• Designing IVR systems and interactive voice bots
• Creating synthetic dialogue for video content and gaming environments

Assessing Quality and Realism

• Applying MOS (Mean Opinion Score) and intelligibility testing
• Adjusting expressiveness and prosody for natural delivery
• Benchmarking latency, audio fidelity, and realism

Ethical, Legal, and Governance Frameworks

• Navigating deepfake risks and ensuring responsible usage
• Understanding consent, attribution, and copyright implications
• Adhering to regulatory standards and organizational policies

Recap and Future Directions