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 Duration 14 hours (2 days)

Course Outline

Foundations of Speech Synthesis and Voice Cloning

  • Introduction to Text-to-Speech (TTS) and neural voice synthesis
  • Distinguishing voice cloning from speech generation: applications and limitations
  • Core models including Tacotron, WaveNet, FastSpeech, and VITS

Leveraging Commercial Platforms

  • Utilizing ElevenLabs and Resemble AI
  • Processes for voice creation, cloning, and refinement
  • Managing API access and TTS workflows

Developing with Open-Source Tools

  • Setup and configuration of Coqui TTS
  • Training custom voices and overseeing dataset management
  • Producing speech with precise control over pitch, speed, and emotion

Data Preparation and Voice Dataset Management

  • Gathering and refining voice samples
  • Segmenting, labeling, and aligning transcripts
  • Ensuring ethical sourcing and obtaining voice consent

Application Integration

  • Incorporating TTS into websites and digital applications
  • Building IVR systems and interactive chatbots
  • Generating synthetic dialogue for video games and multimedia

Assessing Quality and Realism

  • Applying MOS (Mean Opinion Score) and intelligibility benchmarks
  • Adjusting expressiveness and prosody
  • Evaluating latency, audio fidelity, and realism

Ethical, Legal, and Governance Frameworks

  • Navigating deepfake risks and ensuring responsible usage
  • Addressing consent, attribution, and copyright considerations
  • Understanding regulatory compliance and organizational policies

Recap and Future Directions

Requirements

  • Solid grasp of core machine learning concepts
  • Proficiency with audio file formats and editing software
  • Foundational skills 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

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