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Duration 14 hours
Course Outline
Foundations of Speech Synthesis and Voice Cloning
- A comprehensive overview of text-to-speech (TTS) and neural voice synthesis
- Distinguishing voice cloning from general speech generation: exploring use cases and limitations
- Review of leading models including Tacotron, WaveNet, FastSpeech, and VITS
Utilising Commercial Platforms
- Practical application of ElevenLabs and Resemble AI
- Techniques for voice creation, duplication, and fine-tuning
- Managing API access and optimising text-to-speech workflows
Development Using Open-Source Tools
- Setup and configuration of Coqui TTS
- Training custom voice models and managing associated datasets
- Producing speech with granular control over pitch, speed, and emotional tone
Data Preparation and Voice Dataset Administration
- Strategies for collecting and refining voice samples
- Processes for segmenting, labelling, and aligning audio transcripts
- Ensuring ethical data sourcing and obtaining proper voice consent
Application Integration Strategies
- Embedding TTS capabilities into websites and digital applications
- Developing IVR systems and interactive conversational bots
- Generating synthetic dialogue for video productions and gaming environments
Quality Assurance and Realism Assessment
- Applying MOS (Mean Opinion Score) and intelligibility testing standards
- Mastering the control of expressiveness and prosody
- Analysing and comparing latency, audio fidelity, and overall realism
Ethical, Legal, and Governance Frameworks
- Mitigating deepfake risks through responsible usage protocols
- Navigating consent, attribution, and copyright implications
- Adhering to relevant regulations and establishing organisational policies
Conclusion and Future Directions
Requirements
- Solid grasp of machine learning fundamentals
- Proficiency with various audio file formats and editing software
- Competence in basic Python programming
Target Audience
- AI developers and engineers keen on advancing their speech synthesis capabilities
- Content creators and media technologists exploring the potential of voice generation
- R&D teams focused on developing personalised or dynamic audio systems
