The Architecture
Behind Every Word.
Inside VoxiyAI's neural pipeline — from raw audio to synthesized voice & live text in every target language, in under 200 milliseconds.
How a Voice Becomes
Voice & Text in Every Language.
The speaker's microphone stream is captured at 48kHz and immediately fed into a noise-suppression kernel that isolates the voice signal with less than 5ms overhead.
48kHz / 16-bit PCMOur custom Whisper-derived encoder compresses the audio into dense semantic embeddings. Unlike traditional ASR, we skip explicit transcription — we encode intent directly.
Semantic Embedding SpaceA multi-head attention decoder fans the embedding out into N target language streams simultaneously. Emotional tone, cadence and register are preserved across all outputs.
N-Parallel DecodingTranslated text and synthesized audio are streamed in parallel over WebSocket to every connected listener in real-time. Each client independently selects their language preference and output mode (voice, text, or both) with zero server-side re-computation.
Voice + Text / WebSocket / Sub-200msDesigned for
Zero Compromise.
No Transcription. No Delay. No Compromise.
Traditional speech AI forces a three-step sequence: transcription → translation → display. Each step adds latency, and each step introduces an opportunity for error. We eliminated the transcription step entirely, and added a voice synthesis layer so listeners receive both text and spoken audio simultaneously.
VoxiyAI operates in semantic embedding space. We encode audio directly into meaning and decode into any target language in a single forward pass — then feed the result into both a text renderer and a TTS synthesizer in parallel, all within the 200ms budget.
- Encoder built on Whisper-X with custom fine-tuning for real-time streaming
- Decoder based on mBART-50 with attention dropout optimizations
- Parallel TTS synthesis — listeners receive spoken audio AND live subtitles
- TURN-based delta streaming for bandwidth efficiency
- Deployed on edge-optimized GPU instances for minimum hop latency
Specialized
From the Ground Up.
Our flagship encoder, fine-tuned from Whisper-large-v3 on 3TB of multilingual audio. Optimized for streaming inference with overlapping context windows.
Cross-lingual decoder tuned on mBART-50. Achieves near-native fluency in 15 languages with full support for register matching and idiomatic expressions.
Real-time noise suppression kernel running on-device in the browser. Removes ambient noise, reverberation, and cross-talk before any audio leaves the client.