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 Duration 14 hours

Course Outline

Foundations of Speech Synthesis and Voice Replication

  • Comprehensive overview of text-to-speech (TTS) and neural voice synthesis
  • Distinguishing voice cloning from speech generation: practical applications and limitations
  • Examination of key models including Tacotron, WaveNet, FastSpeech, and VITS

Utilizing Commercial Platforms

  • Working with ElevenLabs and Resemble AI
  • Processes for voice creation, replication, and post-editing
  • Managing API access and optimizing text-to-speech workflows

Development with Open-Source Solutions

  • Setup and configuration of Coqui TTS
  • Training bespoke voices and maintaining dataset integrity
  • Producing speech with granular control over pitch, tempo, and emotional tone

Data Preparation and Voice Dataset Administration

  • Acquisition and refinement of voice samples
  • Techniques for segmentation, labeling, and transcript alignment
  • Ensuring ethical sourcing and obtaining proper voice consent

Integration into Applications

  • Embedding TTS capabilities within websites and software applications
  • Designing IVR systems and interactive conversational bots
  • Generating synthetic dialogue tracks for video production and gaming

Assessing Quality and Authenticity

  • Application of MOS (Mean Opinion Score) and intelligibility evaluations
  • Managing expressiveness and prosodic features
  • Benchmarking latency, audio fidelity, and realism

Ethical, Legal, and Governance Frameworks

  • Mitigating deepfake risks and ensuring responsible deployment
  • Navigating consent, attribution, and intellectual property rights
  • Adhering to regulatory standards and internal organizational policies

Conclusions and Future Directions

Requirements

  • Solid grasp of core machine learning concepts
  • Experience with audio file formats and editing software
  • Foundational proficiency in Python programming

Target Audience

  • AI developers and engineers seeking expertise in speech synthesis
  • Content creators and media technologists investigating voice generation solutions
  • R&D teams developing personalized or dynamic audio architectures

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