AcoJaco Showcase Lab | Interactive Speech & Edge Multimodal Runtime Demo

Configuration

1. Select Voice & Target Endpoint

Reference Speaker Persona

Reference Audio Sample Upload Custom Audio

Active: Default Voice Template

Neural Voice Synthesis Engine

Model 1

Zero-Shot Auto-regressive TTS

Model 2

Low-Latency Phonetic Rendering

2. Narrative Script (One Paragraph) 0 / 400 chars

Live Output Console

Engine Ready

Paired Scene Image (SD-LCM)

Generates synchronized with audio narrative

Synthesized Narrative Audio XTTS Engine

Runtime Execution Telemetry (Example Values)

Real-Time Factor

0.14x RTF

Host Memory

1,805 MB

Data Egress

0.00 KB (Private)

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