Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours (2 days)
Course Outline
Fundamentals of Speech Synthesis and Voice Replication
- Comprehensive overview of text-to-speech (TTS) mechanisms and neural voice synthesis
- Distinguishing voice cloning from speech generation: analyzing use cases and operational boundaries
- Core architectures: Tacotron, WaveNet, FastSpeech, and VITS
Utilizing Commercial Platforms
- Operational workflows with ElevenLabs and Resemble AI
- Processes for voice creation, duplication, and post-editing
- Managing API integrations and text-to-speech execution pipelines
Developing with Open-Source Solutions
- Setup and configuration of Coqui TTS
- Training bespoke vocal models and overseeing dataset integrity
- Generating speech with precise control over pitch, tempo, and emotional tone
Data Curation and Voice Dataset Administration
- Acquisition and cleansing of raw voice samples
- Techniques for segmenting, labeling, and aligning textual transcripts
- Ethical acquisition strategies and securing voice consent
System Integration Applications
- Embedding TTS capabilities into web platforms and software applications
- Designing IVR architectures and interactive voice bots
- Synthesizing dialogue assets for video production and gaming environments
Assessing Audio Quality and Realism
- Applying MOS (Mean Opinion Score) standards and intelligibility benchmarks
- Regulating expressive qualities and prosodic patterns
- Evaluating trade-offs between latency, fidelity, and naturalness
Ethical, Legal, and Governance Frameworks
- Mitigating deepfake risks and ensuring responsible deployment
- Addressing consent, attribution, and intellectual property rights
- Aligning with regulatory standards and organizational policies
Recap and Future Development Paths
Requirements
- Solid comprehension of machine learning foundational concepts
- Proficiency with audio file formats and associated editing software
- Foundational Python programming abilities
Target Participants
- AI developers and engineers focused on speech synthesis technologies
- Content creators and media technologists investigating voice generation solutions
- R&D teams developing personalized or dynamic audio systems
