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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, and VITS
Utilizing Commercial Platforms
- Working with ElevenLabs and Resemble AI
- Voice creation, replication, and editing processes
- 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
- Collection and cleaning of voice samples
- Segmentation, labeling, and transcript alignment
- Ethical sourcing protocols and voice consent management
Application Integration
- Embedding TTS capabilities into websites and software applications
- Development of IVR systems and interactive chatbots
- Creating synthetic dialogue for video games and media
Assessing Quality and Realism
- Conducting MOS (Mean Opinion Score) and intelligibility tests
- Managing expressiveness and prosody
- Evaluating latency, audio fidelity, and realism
Ethical, Legal, and Governance Frameworks
- Mitigating deepfake risks through responsible usage
- Addressing consent, attribution, and copyright implications
- Compliance with regulations and organizational policies
Summary and Future Steps
Requirements
- Foundational knowledge of machine learning concepts
- Familiarity 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 technologists exploring voice generation
- R&D teams developing personalized or dynamic audio systems
