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Duration 14 hours
Course Outline
Introduction to Speech Synthesis and Voice Cloning
- Overview of Text-to-Speech (TTS) and neural voice synthesis technologies
- Distinguishing between voice cloning and speech generation: use cases and limitations
- Examination of key models: Tacotron, WaveNet, FastSpeech, and VITS
Utilizing Commercial Platforms
- Working with ElevenLabs and Resemble AI
- Processes for voice creation, cloning, and editing
- Managing API access and TTS workflows
Developing with Open-Source Tools
- Installation and configuration of Coqui TTS
- Training custom voice models and managing associated datasets
- Generating speech with precise control over pitch, speed, and emotion
Data Preparation and Voice Dataset Administration
- Collection and cleansing of voice samples
- Segmentation, labeling, and alignment of transcripts
- Ensuring ethical sourcing and obtaining proper voice consent
Application Integration
- Embedding TTS capabilities into websites and software applications
- Designing IVR systems and interactive chatbots
- Producing synthetic dialogue for video content and video games
Assessing Quality and Realism
- Application of MOS (Mean Opinion Score) and intelligibility metrics
- Managing expressiveness and prosody
- Comparative analysis of latency, audio fidelity, and realism
Ethical, Legal, and Governance Frameworks
- Mitigating Deepfake risks through responsible usage protocols
- Navigating consent, attribution, and copyright considerations
- Compliance with regulations and organizational policies
Course Summary and Future Directions
Requirements
- Foundational knowledge of machine learning concepts
- Proficiency with standard 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 technologists exploring voice generation technologies
- Research and Development (R&D) teams developing personalized or dynamic audio systems
