Voice Cloning and Speech Generation with AI

• Understanding of machine learning fundamentals
• Familiarity with audio file formats and editing tools
• Basic Python programming skills

Audience

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

Voice cloning and speech generation with AI allows users to replicate human voices or generate synthetic speech using deep learning models and speech synthesis techniques.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to create, evaluate, and apply voice cloning and TTS systems in real-world projects.

By the end of this training, participants will be able to:

• Understand the core concepts behind neural speech synthesis and voice cloning.
• Evaluate commercial and open-source TTS platforms.
• Clone voices from sample recordings using ethical and legal guidelines.
• Integrate synthetic voices into applications, IVRs, or media pipelines.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Speech Synthesis and Voice Cloning

• Overview of text-to-speech (TTS) and neural voice synthesis
• Voice cloning vs speech generation: use cases and boundaries
• Key models: Tacotron, WaveNet, FastSpeech, VITS

Working with Commercial Platforms

• Using ElevenLabs and Resemble AI
• Voice creation, cloning, and editing
• API access and text-to-speech workflows

Building with Open-Source Tools

• Installing and configuring Coqui TTS
• Training custom voices and managing datasets
• Generating speech with fine control (pitch, speed, emotion)

Data Preparation and Voice Dataset Management

• Collecting and cleaning voice samples
• Segmenting, labeling, and aligning transcripts
• Ethical sourcing and voice consent

Application Integration

• Embedding TTS in websites and applications
• Creating IVR systems and interactive bots
• Generating synthetic dialogue for video and games

Evaluating Quality and Realism

• MOS (Mean Opinion Score) and intelligibility tests
• Controlling expressiveness and prosody
• Comparing latency, fidelity, and realism

Ethical, Legal, and Governance Considerations

• Deepfake risks and responsible usage
• Consent, attribution, and copyright implications
• Regulations and organizational policies

Summary and Next Steps