Voice Cloning and Speech Generation with AI Training Course

Foundational Concepts in Speech Synthesis and Voice Duplication

• Overview of Text-to-Speech (TTS) and neural voice synthesis mechanisms
• Distinguishing between voice cloning and speech generation: applications and limitations
• Key architectural models: Tacotron, WaveNet, FastSpeech, and VITS

Utilizing Commercial Platforms

• Operating with ElevenLabs and Resemble AI
• Techniques for voice creation, duplication, and modification
• Managing API access and TTS workflows

Developing with Open-Source Solutions

• Setup and configuration of Coqui TTS
• Training bespoke voices and curating datasets
• Producing speech with precise control over pitch, tempo, and emotional tone

Data Handling and Voice Dataset Administration

• Gathering and refining voice samples
• Process of segmentation, labeling, and transcript alignment
• Ensuring ethical sourcing and securing voice consent

Integration into Applications

• Embedding TTS capabilities into web platforms and software apps
• Constructing IVR systems and conversational bots
• Synthesizing dialogue for video production and gaming environments

Assessing Quality and Realism

• Conducting MOS (Mean Opinion Score) and intelligibility assessments
• Regulating expressiveness and prosody
• Benchmarking latency, fidelity, and overall realism

Ethical, Legal, and Governance Frameworks

• Mitigating deepfake risks and promoting responsible usage
• Addressing consent, attribution, and copyright considerations
• Complying with regulations and establishing organizational policies

Recap and Future Directions