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Duration 14 hours
Course Outline
Introduction to Speech Synthesis and Voice Cloning
- Overview of text-to-speech (TTS) and neural voice synthesis
- Distinction between voice cloning and speech generation: use cases and limitations
- Key models: Tacotron, WaveNet, FastSpeech, VITS
Utilising Commercial Platforms
- Working with ElevenLabs and Resemble AI
- Voice creation, cloning, and editing workflows
- API access and text-to-speech implementation
Developing with Open-Source Tools
- Installation and configuration of Coqui TTS
- Training custom voices and managing datasets
- Generating speech with precise control over pitch, speed, and emotion
Data Preparation and Voice Dataset Management
- Collection and cleaning of voice samples
- Segmentation, labelling, and transcript alignment
- Ethical sourcing and voice consent management
Application Integration
- Embedding TTS capabilities in websites and applications
- Designing IVR systems and interactive bots
- Generating synthetic dialogue for video and gaming content
Assessing Quality and Realism
- MOS (Mean Opinion Score) and intelligibility testing
- Managing expressiveness and prosody
- Comparing latency, fidelity, and overall realism
Ethical, Legal, and Governance Considerations
- Deepfake risks and responsible usage protocols
- Consent, attribution, and copyright implications
- Regulatory frameworks and organisational policies
Summary and Next Steps
Requirements
- A solid understanding of machine learning fundamentals
- Proficiency with audio file formats and editing software
- Foundational skills in Python programming
Target Audience
- AI developers and engineers focused on speech synthesis
- Content creators and media technologists exploring voice generation
- R&D teams developing personalised or dynamic audio systems
