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Duration 14 hours (2 days)
Course Outline
Introduction to Speech Synthesis and Voice Cloning
- An overview of text-to-speech (TTS) and neural voice synthesis
- Distinguishing between voice cloning and speech generation: use cases and limitations
- Key architectures: Tacotron, WaveNet, FastSpeech, and VITS
Utilizing Commercial Platforms
- Working with ElevenLabs and Resemble AI
- Processes for voice creation, cloning, and editing
- API integration and text-to-speech workflows
Development 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
- Acquisition and cleaning of voice samples
- Segmenting, labeling, and aligning transcripts
- Ethical sourcing and obtaining voice consent
Application Integration
- Embedding TTS functionality into websites and applications
- Designing IVR systems and interactive chatbots
- Generating synthetic dialogue for video and gaming contexts
Quality and Realism Evaluation
- Application of MOS (Mean Opinion Score) and intelligibility testing
- Managing expressiveness and prosody
- Comparative analysis of latency, fidelity, and realism
Ethical, Legal, and Governance Frameworks
- Addressing deepfake risks and ensuring responsible usage
- Implications of consent, attribution, and copyright
- Navigating regulatory requirements and organizational policies
Summary and Next Steps
Requirements
- A solid understanding of machine learning foundations
- Proficiency with audio file formats and editing software
- Foundational Python programming knowledge
Target Audience
- AI developers and engineers specializing in speech synthesis
- Content creators and media technologists exploring voice generation
- R&D teams developing personalized or dynamic audio systems