Reusable voice presets
Create named zero-shot reference presets from WAV recordings you own or are permitted to use. Myna stores the managed reference, its SHA-256, settings, description, and preferred join mode.
Create reusable voice presets, break scripts into manageable chunks, generate multiple takes, approve the best results, adjust pauses, and assemble long-form narration locally on your Windows PC.
Developed by Amaleen Global LLC, the company behind CreatorKit Studio.
Product overview
Myna is a local voice cloning and narration application for creators who need fine-grained control over long-form voice production. It uses a reference recording to condition the Chatterbox Original English engine; it does not train a new model on that recording.
Instead of treating a complete script as one generation, Myna organizes narration into editable chunks. A chunk can hold multiple raw takes, so a creator can listen, regenerate only a weak section, approve a preferred take, tune the pause after it, and build a continuous preview without replacing the underlying recordings.
Built for long-form narration
Add Voice Preset
Load Voice Model
Create Project
Auto Chunk
Generate Takes
Review & Approve
Adjust Pauses
Build Preview
Save / Export
Auto Chunk uses sentence-aware boundaries and preserves paragraph relationships. Individual chunks can be edited or split; adjacent chunks can be merged. Editing marks earlier takes as outdated rather than silently presenting them as current. Generation is serialized, and creators can generate missing takes in sequence or regenerate just the selected chunk.
Verified capabilities
Create named zero-shot reference presets from WAV recordings you own or are permitted to use. Myna stores the managed reference, its SHA-256, settings, description, and preferred join mode.
Turn a long script into manageable units, then edit, split, or merge where the narration needs a different rhythm. Paragraph-aware metadata remains available to the project.
Every generation becomes a new take. Regenerate with the same seed for a repeatable attempt or use a new seed for an alternative, while earlier raw WAV files remain available for review.
Choose the current approved take per chunk and adjust the following pause. Assembly uses those choices, so weak sections can be replaced without regenerating the full narration.
The recommended join mode inserts low-level room tone between approved chunks to soften transitions. Assembly is reversible: it does not modify approved raw takes.
Light Documentary mastering is conservative, optional, and off by default. It creates a comparison output without changing raw takes and requires FFmpeg to be available.
Saved project data includes the original script, chunk order and text, paragraph relationships, pause values, generated-take metadata, approved selections, seed history, voice settings, reference path, and model identity. Raw WAV files are stored alongside the project.
Export a non-overwriting Markdown record with app and engine identity, reference hash, settings, take record, and post-production state. It supports record keeping; it is not proof of ownership or a commercial-use guarantee.
Local-first design
Voice presets, managed reference recordings, projects, raw takes, assembled previews, exports, caches, and session logs are local installation data. After the required runtime and model components are installed, normal reference conditioning and speech generation use the local CPU and do not require a cloud inference service.
Myna is not fully offline from first launch: the public bootstrap needs internet access to download the application, isolated runtime, and pinned model payloads.
The packaging process uses an explicit application allowlist and a fresh staging area. It is designed to reject personal audio, projects, preset identifiers, logs, caches, and development paths. Clean distributions start with no voice preset or reference audio.
Responsible voice use
Use only voice recordings that you own or have permission to use. Myna is intended for legitimate narration, production, accessibility, experimentation, and creator workflows—not impersonation, deception, fraud, or unauthorized cloning. You are responsible for consent, applicable law, platform rules, and the licenses that govern your sources and outputs.
System requirements
CPU synthesis may be slower than real time. Generation is intentionally sequential, and performance and output quality vary with hardware, reference audio, text, and settings.
Installation
The prepared Windows bootstrap is a small native .NET Framework application. It is designed to download four required artifacts—the Myna application, an isolated Python 3.11 CPU runtime, and two pinned model archives—then verify every artifact with SHA-256 before extracting any of them.
Installation is per-user under %LOCALAPPDATA%\Amaleen Global LLC\Myna. Application files are separated from UserData; system Python is not installed or modified. A normal uninstall preserves UserData, while deleting it requires an explicit option.
The current alpha bootstrap is unsigned. Windows SmartScreen or antivirus reputation checks may show a warning. Myna does not bypass those warnings, browser confirmation, UAC, or execution-policy controls.
Engine & provenance
Chatterbox Original English
Open-source engine developed by Resemble AI. Myna and Amaleen Global LLC do not claim ownership of Chatterbox.
chatterbox-tts 0.1.7
Python 3.11.9
PyTorch 2.6.0+cpu
torchaudio 2.6.0+cpu
Upstream license snapshot: MIT
Source
5de7a54aa4e5e2baadb0182dde554908b48b85c2Model
5bb1f6ee58e50c3b8d408bc82a6d3740c2db6e18Myna compares the installed engine environment with a frozen provenance snapshot before model use. A changed result prompts review without rewriting packages or blocking local work. The snapshot and exported reports aid reproducibility and record keeping; neither is legal advice nor a guarantee of commercial rights.
Current alpha limitations
Variable results. Reference quality, script structure, and settings affect output. Speaker identity may not perfectly match the source.
Resource-heavy operation. Model loading uses substantial memory, and CPU generation can be slow.
Deliberately serial generation. Myna uses one model instance and one generation worker; running multiple copies is not recommended.
Pre-release packaging. The public installer is currently unsigned, Myna 0.9-alpha remains a test build, and compatibility may evolve before stable release.
Download the small bootstrap from the official Myna GitHub prerelease. It retrieves the application, isolated CPU runtime, and two model archives from GitHub Releases, then verifies their pinned SHA-256 values before installation. The multi-gigabyte payload is not hosted on CreatorKit Studio.
Download Myna BootstrapSHA-256: 5a970a8d5f8a4ab68a9549d68d5467a43e8a0687ee525e270e1ede52951da5f7
Windows alpha · about 3.8 GiB downloaded · about 4.7 GiB installed · 12 GiB free-space minimum · unsigned test build
Creator tool connections
FAQ
Myna is a Windows application for local, reference-conditioned voice generation and long-form narration management. It combines voice presets, script chunks, multiple takes, approvals, pauses, assembly, and project records.
Yes. After setup, voice conditioning and generation run on the local CPU. Projects and audio stay in local Myna storage unless you choose to move or share them.
Internet is required when running the public bootstrap to download the application, isolated runtime, and pinned model components. Normal generation does not require cloud inference after those components are installed.
No. The current workflow uses zero-shot reference conditioning: a permitted WAV reference guides a pre-trained speech model without training a new model for that voice.
That is its primary workflow. Scripts are divided into sentence-aware chunks so you can generate, review, approve, and revise one manageable section at a time.
Yes. Select a chunk and generate another take using the same seed or a new seed. You do not need to regenerate the complete script.
No. New generations create non-overwriting takes. If chunk text changes, prior takes can be retained but marked outdated so their status is clear.
The current alpha targets 64-bit Windows 10 and Windows 11. macOS and Linux packages are not part of this build.
No. This validated stack uses CPU-only FP32 inference. A capable multi-core CPU, adequate available memory, a page file, and SSD storage are more relevant to this alpha.
Only use a clean recording you own or have permission to use. You remain responsible for consent, laws, platform policies, and applicable licenses.
Myna 0.9-alpha uses Chatterbox Original English via chatterbox-tts 0.1.7, pinned to recorded source and model revisions. Chatterbox is developed by Resemble AI and distributed under an MIT license snapshot in this build.
No. Myna 0.9-alpha is an alpha/test build. The installer is currently unsigned, generation speed and voice similarity can vary by hardware, reference audio, and script, and compatibility may continue to evolve before a stable release. A public prerelease is available for testing, but it should not yet be treated as a production-ready application.