One owner, one model
A focused model represents one authorized voice. It does not carry a catalog of voices the owner will never use.
VoiceYog™ · Personal TTS · Apple Silicon
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.
Voice ownership for working creators
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.
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.
A focused model represents one authorized voice. It does not carry a catalog of voices the owner will never use.
After installation, inference runs without CUDA, PyTorch, a cloud voice API, or a network connection.
Use the model for presentation videos today and connect the same local voice engine to other content workflows later.
The VoiceYog™ model lifecycle
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
One authorized voice sample is enough to begin building the focused training corpus.
02 · TRAIN
Our GPU lab builds and validates a compact model focused on that single voice.
03 · INSTALL
The exported model and Arm-aware runtime are installed on supported Apple Silicon.
04 · REUSE
Create speech offline through VoiceYog™ Video Studio or other applications connected to the local engine.
Watch the demo
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 YouTubeFirst application · VoiceYog™ Video Studio
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.
More from DLYog Lab
Personal voice ownership is our current product direction. These existing projects remain available without competing with that primary message.
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.
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 AI4EcholaliaA 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 AIEarly personal voice pilot
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.
VoiceYog™ early pilot
A single authorized voice sample is enough to start the model-building process. Tell us what you would create and which Apple Silicon Mac you use—but do not submit the recording or medical information here.