LinnetTTS 0.1.0

0.1.0 - 2026-11-04

First public release of LinnetTTS: lightweight on-device English text-to-speech (flow LM over a 25 Hz continuous-latent
codec with a Vocos-style decoder, ~41M parameters, 24 kHz, streaming).

Added

• python/ — linnet_tts_torch, the reference model definition and inference in PyTorch (no training code). Bit-exact
  against the training-side reference vectors in tests/goldens/ref (tests/test_ref_goldens.py).
• runtime/ — Rust runtime. linnet-ops: the kernels this model uses, scalar reference plus aarch64 NEON, x86_64 AVX2+FMA
  and WASM SIMD128 fast paths, selected at run time on x86_64. linnet-tts: loader for the linnet-tts/1 safetensors
  container (fp16 weight matrices, fp32 accumulation), SentencePiece tokenizer, streaming Session (one LM step = 80 ms =
  1920 samples; the chunks concatenate bit-for-bit to the offline result), C API (include/linnet_tts.h), and a persistent
  worker pool whose audio output is bit-identical for every thread count.
• bindings/linux/ — C distribution linnet-tts-<version>-linux-{x86_64,aarch64}.tar.gz (.so, .a, header, examples).
• bindings/python/ — wheel linnet-tts (import linnet_tts; abi3, CPython >= 3.9, NumPy in and out, GIL released).
• bindings/android/ — AAR com.voxrt.linnet:linnet-tts (Kotlin API, JNI in Rust, arm64-v8a + x86_64, minSdk 24,
  AudioTrackPlayer) and a sample app (package registry publishing follows the first tagged release; see
  build/README.md).
• bindings/ios/ — Swift package LinnetTTS over a static LinnetTTS.xcframework (ios-arm64, simulator arm64 + x86_64,
  macos-arm64 for host tests; iOS 15 / macOS 12), LinnetPlayer, a SwiftUI sample app and XCTests (package
  registry publishing follows the first tagged release; see build/README.md).
• docs/ — model card, weight container format (linnet-tts/1), streaming contract. Golden vectors in tests/goldens/
  shared by the Python package and the Rust runtime.
• build/ — set_version.sh (one version for every package), make_weights_release.sh (assembles and checks a weights
  release directory), git hooks; GitHub Actions workflows for CI and tagged releases.

Weights

• linnet-en-35m v1 (fp16 runtime file, fp32 reference file, tokenizer, built-in voices) is published separately as the
  GitHub release weights-v1 with a Hugging Face mirror, under the Linnet Weights License (WEIGHTS_LICENSE.md).
  No weights are bundled in any package.

Known limitations

• English only; other languages produce garbage.
• No text normalisation inside the model: write numbers, dates, currencies and similar as words before synthesis.
• A slight roughness is audible on headphones in some utterances.
• Browser (WASM) and Node channels are deferred to a later release; the runtime keeps compiling for wasm32-unknown-unknown.
• An int8 (W8A8) weight variant for weaker devices is planned as a separate weights file.

Model weights are published separately (release weights-vN, see README.md).