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Duration 14 hours (2 days)
Course Outline
Foundations of Speech Synthesis and Voice Cloning
- An introduction to Text-to-Speech (TTS) and neural voice synthesis architectures
- Distinguishing between voice cloning and speech generation: exploring specific use cases and operational limits
- Examination of key models, including Tacotron, WaveNet, FastSpeech, and VITS
Utilizing Commercial Platforms
- Practical application of tools such as ElevenLabs and Resemble AI
- Techniques for voice creation, cloning, and post-production editing
- Managing API interactions and streamlining TTS workflows
Development with Open-Source Solutions
- Setting up and configuring the Coqui TTS framework
- Training bespoke voice models and managing associated datasets
- Producing speech with precise adjustments to pitch, pacing, and emotional tone
Data Preparation and Voice Dataset Administration
- Strategies for gathering and refining high-quality voice samples
- Processes for segmentation, labeling, and transcript alignment
- Ensuring ethical sourcing and obtaining proper voice consent
Integration into Applications
- Embedding TTS functionalities into web interfaces and mobile applications
- Designing IVR systems and interactive conversational bots
- Generating synthetic dialogue tracks for video production and gaming environments
Quality and Realism Assessment
- Conducting MOS (Mean Opinion Score) and intelligibility evaluations
- Managing expressiveness and prosodic features
- Benchmarking performance based on latency, audio fidelity, and perceived realism
Ethics, Legal Compliance, and Governance
- Navigating deepfake risks and promoting responsible usage practices
- Addressing consent, attribution, and copyright considerations
- Understanding relevant regulations and internal organizational policies
Recap and Future Directions
Requirements
- A solid grasp of machine learning core concepts
- Proficiency with various audio file formats and editing software
- Foundational knowledge in Python programming
Intended Audience
- AI developers and engineers focusing on speech synthesis technologies
- Content creators and media specialists looking to integrate voice generation capabilities
- R&D teams dedicated to developing personalized or dynamically adaptive audio systems
