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 Duration 14 hours (2 days)

Course Outline

Introduction to Speech Synthesis and Voice Cloning

  • Overview of text-to-speech (TTS) and neural voice synthesis technologies
  • Distinguishing voice cloning from speech generation: use cases and operational boundaries
  • Analysis of key models including Tacotron, WaveNet, FastSpeech, and VITS

Utilizing Commercial Platforms

  • Practical application of ElevenLabs and Resemble AI
  • Processes for voice creation, cloning, and audio editing
  • Navigating API access and text-to-speech workflows

Developing with Open-Source Tools

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

Data Preparation and Voice Dataset Management

  • Methods for collecting and refining voice samples
  • Techniques for segmenting, labeling, and aligning transcripts
  • Ensuring ethical sourcing and obtaining proper voice consent

Application Integration

  • Embedding TTS capabilities into websites and software applications
  • Building IVR systems and interactive chatbots
  • Producing synthetic dialogue for video content and gaming environments

Quality and Realism Evaluation

  • Conducting MOS (Mean Opinion Score) and intelligibility assessments
  • Managing expressiveness and prosody in output
  • Benchmarking latency, audio fidelity, and perceived realism

Ethical, Legal, and Governance Frameworks

  • Mitigating deepfake risks through responsible usage
  • Navigating consent, attribution, and copyright considerations
  • Compliance with relevant regulations and internal organizational policies

Recap and Future Directions

Requirements

  • A solid grasp of fundamental machine learning concepts
  • Familiarity with audio file formats and editing software
  • Proficiency in basic Python programming

Target Audience

  • AI developers and engineers with an interest in speech synthesis
  • Content creators and media technologists exploring voice generation
  • R&D teams developing personalized or dynamic audio systems

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