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Duration 14 hours
Course Outline
Fundamentals of Speech Synthesis and Voice Cloning
- Introduction to text-to-speech (TTS) and neural voice generation
- Distinguishing voice cloning from speech generation: applications and limitations
- Core architectures: Tacotron, WaveNet, FastSpeech, VITS
Utilizing Commercial Solutions
- Working with ElevenLabs and Resemble AI
- Creating, cloning, and refining voice profiles
- Managing API access and TTS operational workflows
Development with Open-Source Frameworks
- Setup and configuration of Coqui TTS
- Training bespoke voices and curating datasets
- Generating speech with precise control over pitch, tempo, and emotional tone
Data Curation and Voice Dataset Administration
- Acquiring and preprocessing voice samples
- Segmentation, labeling, and transcript alignment
- Ethical acquisition and voice consent protocols
System Integration
- Embedding TTS capabilities into web platforms and software applications
- Designing IVR systems and interactive voice bots
- Synthesizing dialogue for video productions and gaming environments
Quality Assurance and Realism Assessment
- Applying MOS (Mean Opinion Score) and intelligibility benchmarks
- Regulating expressiveness and prosodic features
- Evaluating latency, audio fidelity, and perceptual realism
Ethical, Legal, and Governance Frameworks
- Mitigating deepfake risks and promoting responsible usage
- Addressing consent, attribution, and copyright considerations
- Navigating regulatory landscapes and internal organizational policies
Recap and Future Directions
Requirements
- Fundamental understanding of machine learning principles
- Proficiency with audio file formats and editing software
- Basic proficiency in Python programming
Target Audience
- AI developers and engineers specializing in speech synthesis
- Content creators and media professionals exploring voice generation
- R&D teams developing personalized or dynamic audio architectures