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Atten 0.2.4

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@github-actions github-actions released this 15 Sep 19:50
· 255 commits to main since this release
v0.2.4
1887071

Atten is a fully offline, Apple Silicon-native text-to-speech studio for macOS
14 and newer. This release includes its Python 3.12 runtime, Kokoro, eSpeak NG,
all supported voices, and the pinned Kokoro-82M model. No separate Python,
Homebrew, model download, account, or network connection is required after the
DMG is downloaded.

Install

  1. Download Atten-macOS-arm64.dmg and compare its SHA-256 digest with
    SHA256SUMS.txt.
  2. Open the DMG and drag Atten to Applications.
  3. This release is ad-hoc signed, not Apple-notarized. On first launch,
    Control-click Atten and choose Open. If macOS still blocks it, use
    System Settings → Privacy & Security → Open Anyway.

Do not remove quarantine attributes. Future releases can migrate to Developer
ID signing and notarization without changing the stable download URL.

Source, license notices, the SPDX dependency manifest, and GitHub provenance
attestations are published beside the DMG.

Windows improvements in this release

Atten for Windows gains live Hugging Face model discovery and search, with
filtering by language and sorting by downloads, stars, size, or provider.
Downloads are now resumable, with pause/cancel controls, live speed and ETA,
and state that persists across app restarts.

This release also adds multilingual neural engine support (XTTS-v2,
Kokoro-82M, GGUF, MMS-TTS), including Arabic, German, Spanish, French,
Italian, Portuguese, Russian, Turkish, Dutch, Polish, Japanese, Chinese, and
Hindi voices, plus an integrated audio player bar with seek, play/pause, and
auto-play when generation completes.

Windows installation

Download Atten-Windows-x64-Setup.exe and run it. The guided installer checks
that the computer has 64-bit Windows 10 version 1809 or newer (or Windows 11),
8 GB RAM, and 4 GB free disk space before installation. It includes the local
speech engine, Kokoro model, Python runtime, .NET runtime, and Windows App SDK;
no separate dependency installation or internet connection is needed after the
installer is downloaded. The public Windows build uses CPU inference.

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