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 Duration 14 hours (2 days)

Course Outline

Introduction to Speech Synthesis and Voice Cloning

  • An overview of text-to-speech (TTS) and neural voice synthesis
  • Distinguishing between voice cloning and speech generation: use cases and limitations
  • Key architectures: Tacotron, WaveNet, FastSpeech, and VITS

Utilizing Commercial Platforms

  • Working with ElevenLabs and Resemble AI
  • Processes for voice creation, cloning, and editing
  • 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

  • Acquisition and cleaning of voice samples
  • Segmenting, labeling, and aligning transcripts
  • Ethical sourcing and obtaining voice consent

Application Integration

  • Embedding TTS functionality into websites and applications
  • Designing IVR systems and interactive chatbots
  • Generating synthetic dialogue for video and gaming contexts

Quality and Realism Evaluation

  • Application of MOS (Mean Opinion Score) and intelligibility testing
  • Managing expressiveness and prosody
  • Comparative analysis of latency, fidelity, and realism

Ethical, Legal, and Governance Frameworks

  • Addressing deepfake risks and ensuring responsible usage
  • Implications of consent, attribution, and copyright
  • Navigating regulatory requirements and organizational policies

Summary and Next Steps

Requirements

  • A solid understanding of machine learning foundations
  • Proficiency with audio file formats and editing software
  • Foundational Python programming knowledge

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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