Synthetic Voice
Synthetic Speech & Voice Generation
Synthetic speech has evolved from robotic tones to near-human expressiveness. Today, AI voice technology allows businesses to create natural-sounding voices for a wide range of applications—from product tutorials and virtual assistants to dynamic content narration.
At Dekkode, we help brands bring their voice to life. Whether you need multilingual customer support, immersive voiceovers, or character-driven experiences, we work with cutting-edge tools like ElevenLabs and Whisper to deliver custom solutions that scale.
We focus on seamless integration, ethical voice cloning, and contextual design—ensuring your synthetic voices match your brand tone, adapt to user needs, and are easy to deploy across platforms.
Voice Models and Platforms
ElevenLabs is the industry leader in ultra-realistic AI voice synthesis, known for its multilingual capabilities and expressive control. Ideal for narration, e-learning, or audio content generation, it’s fast, high-quality, and ready for production.
What we offer:
• Voice cloning for branded narration
• Real-time voice generation APIs
• Emotion-tuning and multi-language setup
Voice Generation
Use Cases
• Voice Assistants: Create intelligent, multilingual voice UIs for apps, bots, and devices.
• Marketing Narration: Personalize video ads or product videos with custom voices.
• Accessibility: Narration for websites, learning platforms, and mobile apps.
• Podcasts & Audiobooks: Generate narrated content without a recording studio.
• Gaming & Virtual Worlds: Character dialogue powered by AI speech generation.
• IVR Systems: Conversational phone menus using branded voices.
Realtime conversation – the model speaks, the server decides
Voice agents: the interviewer is a link
Synthetic voices can do more than read aloud: in our own voice interview platform, a realtime speech-to-speech model conducts complete structured interviews – in German or English, with no account and no install. Participants open a signed link and simply start talking.
The architecture is a supervisor pattern: the model owns the conversation – hearing, speaking, barge-in, small talk – but after every answer it calls exactly one tool, backed by the server's deterministic, tested state machine. It evaluates the turn and returns the next instruction: the model never chooses, skips, or reorders questions on its own – prevented structurally, not by prompt promise.
Audio never touches our servers: the browser talks directly to the voice provider using short-lived, server-minted secrets. Signed links, rate limits, and minting caps ensure a leaked link can only cause bounded cost – and a typed chat path runs on the same state machine as the permanent accessibility fallback.
