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Course Outline
Introduction to Speech Synthesis and Voice Cloning for Government
- Overview of text-to-speech (TTS) and neural voice synthesis technologies for government use
- Differentiating between voice cloning and speech generation: use cases and boundaries in public sector applications
- Key models utilized in the field: Tacotron, WaveNet, FastSpeech, VITS
Working with Commercial Platforms for Government
- Utilizing ElevenLabs and Resemble AI for government projects
- Creating, cloning, and editing voices to meet public sector needs
- Accessing APIs and integrating text-to-speech workflows in government systems
Building with Open-Source Tools for Government
- Installing and configuring Coqui TTS for government applications
- Training custom voices and managing datasets to align with public sector requirements
- Generating speech with fine control over pitch, speed, and emotion for enhanced communication
Data Preparation and Voice Dataset Management for Government
- Collecting and cleaning voice samples to ensure data quality for government use
- Segmenting, labeling, and aligning transcripts to support accurate synthesis in public sector applications
- Ethical sourcing of voice data and obtaining consent from participants for government projects
Application Integration for Government
- Embedding TTS capabilities into websites and applications for government services
- Developing interactive voice response (IVR) systems and chatbots to enhance citizen engagement
- Generating synthetic dialogue for educational videos and training simulations in the public sector
Evaluating Quality and Realism for Government
- Conducting Mean Opinion Score (MOS) and intelligibility tests to assess TTS performance in government applications
- Controlling expressiveness and prosody to improve user experience in public sector communications
- Comparing latency, fidelity, and realism to ensure optimal performance for government use
Ethical, Legal, and Governance Considerations for Government
- Addressing deepfake risks and promoting responsible usage in public sector applications
- Ensuring consent, proper attribution, and compliance with copyright laws in government TTS projects
- Adhering to relevant regulations and organizational policies to maintain integrity and accountability
Summary and Next Steps for Government
Requirements
- Understanding of machine learning fundamentals for government applications
- Familiarity with audio file formats and editing tools used in public sector projects
- Basic Python programming skills to support government workflows
Audience
- AI developers and engineers interested in speech synthesis for government initiatives
- Content creators and media technologists exploring voice generation for public sector use
- R&D teams building personalized or dynamic audio systems for government purposes
14 Hours
