Client & Edge Inference Lab

Interactive Speech Synthesis & Phonetic Runtime

Explore our two testing sandboxes: a speaker style & timbre conditioned neural voice demo driven by curated narrative scripts, and an unconstrained client-side Phonemizer & eSpeak WASM studio with instant in-browser synthesis. License Information >>

Demo 1 of 2

Custom Voice-Mixing Text-to-Speech & ImageGen

Conditioned Neural-TTS Engine
Primary Voice

Primary Voice

25 Benchmark Sentences
Selected Sentence Script:

Custom free-form prompts are available in our complete platform. Select any benchmark sentence above for evaluation.

Neural Synthesis Output
TTS Service Ready
TTS Output
0.00s
First time cold-start takes longer, subsequent requests will be fast

Paired Scene Visualization

Client-side runtime feature requires downloading paired models and local setup; this features is currently under engineering...

TTS Speed
-- RTF
Container Startup
--
Queue / Synth
-- ms
Demo 2 of 2

Phonemizer & Client-Side eSpeak NG Studio

100% In-Browser WebAssembly Execution
Input Configuration

Unconstrained G2P Tokenization

0 chars
Phonetic Token Inspector Ready
Raw IPA Phonemes
[IPA tokens will render here...]
In-Browser PCM Audio Output 0 samples (22.05 kHz mono)
Client Engine Telemetry
WASM G2P Latency
-- ms
CMUdict Hit Rate
-- %
PCM Synth Time
-- ms

Proven Implementations

Real-World Systems We Have Engineered

Concrete production engines built to deliver low-bandwidth voice communications, air-gapped meeting comprehension, and expressive multimodal narrative generation.

Real-Time Comms Desktop Engine

Ultra-Low-Bandwidth WebRTC Voice Communication

Challenge: Decentralized voice calling required crystal-clear audio transmission over unstable, severely constrained network connections without bloated external build systems.

Delivery: Built a native desktop real-time audio pipeline combining WebRTC with an embedded neural audio codec (Google Lyra) data-saver mode. The engine operates as a clean, self-contained desktop runtime with zero cloud dependencies, drastically slashing bandwidth requirements while preserving speech clarity.

High-Fidelity Voice @ Low Bitrates
Meeting Intelligence Air-Gapped AI

On-Device Speech Recognition & LLM Action Engine

Challenge: Users needed real-time automated meeting transcription, instant note-taking, and interactive Q&A without sending sensitive spoken conversations to third-party cloud APIs.

Delivery: Integrated an on-premise streaming speech recognition pipeline paired with a quantized local language model comprehension engine. The entire system executes directly on local host hardware with zero Python overhead, generating live transcripts and action items with 100% data residency.

Zero Cloud Ingress // 100% Private
Creative Multimodal Narrative Runtime

Multimodal Storyteller with Sentence Voice Profiles

Challenge: Digital storytelling and expressive narrative applications require character-specific voices, precise sentence pacing, and synchronized visuals without manual recording delays.

Delivery: Engineered an expressive speech narrative engine capable of dynamically injecting dedicated speaker profiles and duration controls on an annotated, sentence-by-sentence basis. Paired with synchronized local scene generation, it produces rich multi-character spoken stories instantly.

Sentence-Level Speaker Profiles

Have a Model or Edge Runtime to Deploy?

We evaluate your checkpoint, quantify hardware feasibility, and deliver clean standalone binaries with zero open-ended hourly fees.

Book a Technical Feasibility Triage