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Course Outline
Foundations of Speech Synthesis and Voice Cloning
- Introduction to Text-to-Speech (TTS) and neural voice synthesis techniques
- Distinguishing between voice cloning and speech generation: applications and limits
- Examination of key models: Tacotron, WaveNet, FastSpeech, and VITS
Leveraging Commercial Platforms
- Working with ElevenLabs and Resemble AI
- Creating, cloning, and refining voices
- Navigating API access and text-to-speech workflows
Developing with Open-Source Solutions
- Setup and configuration of Coqui TTS
- Training bespoke voices and handling datasets
- Producing speech with precise control over pitch, pace, and emotion
Data Handling and Voice Dataset Administration
- Gathering and purifying voice samples
- Segmenting audio, labeling data, and aligning transcripts
- Ensuring ethical sourcing and obtaining voice consent
Integration into Applications
- Embedding TTS functionality into websites and apps
- Designing IVR systems and interactive chatbots
- Generating synthetic dialogue for video games and visual media
Assessing Quality and Authenticity
- Conducting MOS (Mean Opinion Score) and intelligibility assessments
- Managing expressiveness and prosody
- Comparing performance in terms of latency, fidelity, and realism
Ethical, Legal, and Governance Frameworks
- Mitigating deepfake risks and promoting responsible usage
- Addressing consent, attribution, and copyright concerns
- Aligning with regulations and internal organizational policies
Recap and Future Directions
Requirements
- Solid grasp of machine learning basics
- Proficiency with audio file formats and editing software
- Foundational Python programming knowledge
Target Audience
- AI developers and engineers focused on speech synthesis technologies
- Content creators and media technologists investigating voice generation tools
- R&D teams developing personalized or dynamic audio systems
14 Hours