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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 synthesis
- Distinguishing voice cloning from speech generation: use cases and limitations
- Key architectures: Tacotron, WaveNet, FastSpeech, VITS
Leveraging Commercial Platforms
- Utilizing ElevenLabs and Resemble AI
- Techniques for voice creation, cloning, and editing
- API access strategies and text-to-speech workflows
Developing with Open-Source Tools
- Setup 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 Administration
- Collection and cleaning of voice samples
- Segmenting, labeling, and aligning transcripts
- Ethical sourcing and obtaining voice consent
Application Integration Strategies
- Embedding TTS capabilities in websites and applications
- Building IVR systems and interactive bots
- Generating synthetic dialogue for video and gaming content
Assessing Quality and Realism
- Conducting MOS (Mean Opinion Score) and intelligibility evaluations
- Managing expressiveness and prosody
- Comparing latency, audio fidelity, and overall realism
Ethical, Legal, and Governance Frameworks
- Mitigating deepfake risks and ensuring responsible usage
- Addressing consent, attribution, and copyright considerations
- Navigating regulations and organizational policies
Summary and Future Directions
Requirements
- Solid understanding of machine learning fundamentals
- Proficiency with audio file formats and editing tools
- Basic Python programming proficiency
Target Audience
- AI developers and engineers focused on speech synthesis
- Content creators and media technologists exploring voice generation
- R&D teams developing personalized or dynamic audio systems
