VoiceYog™ · Personal TTS · Apple Silicon

Train your voice once. Use it for years.

We start with one authorized voice sample and turn it into a lightweight, single-voice model that runs locally on supported Apple Silicon Macs. Generate speech without a cloud voice API—and reuse the same voice in presentations, lessons, narration, and future applications.

Your voice model is built for you. Training uses our GPU lab once; everyday speech generation runs on the Arm CPU already inside your Mac.

One voice per model Apple Silicon Arm CPU inference Offline after installation Signed provenance

Voice ownership for working creators

Stop recording the same voice work over and over.

If you produce lessons, training videos, presentations, tutorials, or audiobooks every month, your voice is part of your production workflow. VoiceYog™ is designed to turn one authorized sample into a reusable personal voice model—so you can update and create narration locally without repeatedly recording every line or depending on a cloud voice API.

Voice preservation is an important second use case.

A person's voice can change because of illness, treatment, injury, stroke, or aging. Some people want to preserve how they sound today and retain a voice they can use for future content. VoiceYog™ is a personal content-creation technology—not a medical device or treatment.

One owner, one model

A focused model represents one authorized voice. It does not carry a catalog of voices the owner will never use.

Local for everyday use

After installation, inference runs without CUDA, PyTorch, a cloud voice API, or a network connection.

One voice, many uses

Use the model for presentation videos today and connect the same local voice engine to other content workflows later.

The VoiceYog™ model lifecycle

Sample → Train once → Install → Reuse

The expensive model-building work happens once on DLYog Lab GPU infrastructure. Repeated speech generation moves to the user’s Apple Silicon CPU.

01 · SAMPLE

Capture the voice

One authorized voice sample is enough to begin building the focused training corpus.

02 · TRAIN

Build the specialist

Our GPU lab builds and validates a compact model focused on that single voice.

03 · INSTALL

Move it to the Mac

The exported model and Arm-aware runtime are installed on supported Apple Silicon.

04 · REUSE

Generate locally

Create speech offline through VoiceYog™ Video Studio or other applications connected to the local engine.

Watch the demo

See VoiceYog™ speak for itself.

Watch the model, local Arm inference workflow, and the technical idea behind training once and generating speech repeatedly on the user's own hardware.

Open the demo on YouTube

First application · VoiceYog™ Video Studio

Turn PowerPoint speaker notes into narrated video.

VoiceYog™ Video Studio puts the personal model into an end-to-end Mac workflow. Bring the deck you already made, control every slide and line, and export a finished video without recording every take from scratch.

Start with the existing deckExtract slides and speaker notes instead of rebuilding content in a new editor.
Review every narrationEdit notes, listen slide by slide, regenerate, or replace audio with a real recording.
Change without starting overInsert supporting media and rebuild only the sections that changed.

More from DLYog Lab

Existing products and technical work.

Personal voice ownership is our current product direction. These existing projects remain available without competing with that primary message.

Published engineering evidence

VoiceYog™ reference model

The released 68.5 MB reference model demonstrates the single-voice architecture, Arm-aware runtime, offline inference, and reproducible benchmarks behind the personal-model direction.

Technical note: Personal voice model · Arm-optimized TTS · Private, local inference · Developed and benchmarked in DLYog Lab's in-house AI lab.

Education · Strategic partnership

AI4Echolalia™

A caregiver-support product for use between speech-language therapy sessions. Available to existing and invited users and for licensing or strategic partnership.

Project recognition: TED AI Hackathon, 2nd Place · 2024. This recognition applies to AI4Echolalia™, not every DLYog Lab product.

Open AI4Echolalia
Synthetic data · Private preview

SynYog AI

A synthetic-data and model-development platform with assisted schema generation, multimodal processing, training, evaluation, and API inference.

Product note: A private-preview synthetic-data platform, separate from the VoiceYog™ personal voice product.

Explore SynYog AI

Early personal voice pilot

What would you create with a voice that stays on your Mac?

We are looking for Apple Silicon users who regularly create lessons, presentations, tutorials, audiobooks, or other narrated content—and want a personal voice they can reuse without depending on a cloud voice API.

AI for Good remains our compass: useful AI should be open, accessible, and under human control.

I'm interested