Voice Cloning and Speech Generation with AI Training Course

Introduction to Speech Synthesis and Voice Cloning

• An overview of text-to-speech (TTS) and neural voice synthesis
• Distinguishing between voice cloning and speech generation: use cases and limitations
• Key models including Tacotron, WaveNet, FastSpeech, and VITS

Working with Commercial Platforms

• Utilising ElevenLabs and Resemble AI
• Creating, cloning, and editing voices
• Managing API access and text-to-speech workflows

Building with Open-Source Tools

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

Data Preparation and Voice Dataset Management

• Collecting and cleaning voice samples
• Segmenting, labelling, and aligning transcripts
• Ensuring ethical sourcing and obtaining proper voice consent

Application Integration

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

Evaluating Quality and Realism

• Conducting MOS (Mean Opinion Score) and intelligibility tests
• Controlling expressiveness and prosody
• Comparing latency, fidelity, and overall realism

Ethical, Legal, and Governance Considerations

• Navigating deepfake risks and ensuring responsible usage
• Understanding consent, attribution, and copyright implications
• Reviewing relevant regulations and organisational policies

Summary and Next Steps