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
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