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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 generation
  • Distinguishing voice cloning from speech generation: applications and limitations
  • Core architectures: Tacotron, WaveNet, FastSpeech, VITS

Utilizing Commercial Solutions

  • Working with ElevenLabs and Resemble AI
  • Creating, cloning, and refining voice profiles
  • Managing API access and TTS operational workflows

Development with Open-Source Frameworks

  • Setup and configuration of Coqui TTS
  • Training bespoke voices and curating datasets
  • Generating speech with precise control over pitch, tempo, and emotional tone

Data Curation and Voice Dataset Administration

  • Acquiring and preprocessing voice samples
  • Segmentation, labeling, and transcript alignment
  • Ethical acquisition and voice consent protocols

System Integration

  • Embedding TTS capabilities into web platforms and software applications
  • Designing IVR systems and interactive voice bots
  • Synthesizing dialogue for video productions and gaming environments

Quality Assurance and Realism Assessment

  • Applying MOS (Mean Opinion Score) and intelligibility benchmarks
  • Regulating expressiveness and prosodic features
  • Evaluating latency, audio fidelity, and perceptual realism

Ethical, Legal, and Governance Frameworks

  • Mitigating deepfake risks and promoting responsible usage
  • Addressing consent, attribution, and copyright considerations
  • Navigating regulatory landscapes and internal organizational policies

Recap and Future Directions

Requirements

  • Fundamental understanding of machine learning principles
  • Proficiency 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 professionals exploring voice generation
  • R&D teams developing personalized or dynamic audio architectures

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