Voice Cloning and Speech Generation with AI Training Course

Introduction to Speech Synthesis and Voice Cloning

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

Utilizing Commercial Platforms

• Working with ElevenLabs and Resemble AI
• Creating, cloning, and editing voices
• API integration and Text-to-Speech workflows

Building with Open-Source Tools

• Installing and configuring Coqui TTS
• Training custom voices and managing datasets effectively
• Generating speech with precise control over pitch, speed, and emotion

Data Preparation and Voice Dataset Management

• Collecting and cleaning voice samples for optimal quality
• Segmenting, labeling, and aligning transcripts
• Ensuring ethical sourcing and obtaining voice consent

Application Integration

• Embedding TTS capabilities into websites and applications
• Developing IVR systems and interactive bots
• Generating synthetic dialogue for video and gaming content

Evaluating Quality and Realism

• Conducting MOS (Mean Opinion Score) and intelligibility tests
• Managing expressiveness and prosody for natural output
• Comparing performance metrics such as latency, fidelity, and realism

Ethical, Legal, and Governance Considerations

• Mitigating Deepfake risks and ensuring responsible usage
• Understanding consent, attribution, and copyright implications
• Navigating relevant regulations and organizational policies

Summary and Next Steps