meomeo 0.1.2

Text to speech for Dart, powered by espeak-ng and ONNX Runtime.

meomeo

Text to speech for Dart. Text in, audio out.

Uses espeak-ng for phonemization and ONNX Runtime for neural inference. Compatible with KittenTTS models.

Requirements

• Rust toolchain (rustup) — dort compiles ONNX Runtime automatically
• C compiler (Xcode on macOS, gcc on Linux) — espeak compiles espeak-ng automatically

Both compile once via Dart Native Assets on first dart run.

Setup

1. Add dependencies

dependencies:
  meomeo: ^0.1.0

dev_dependencies:
  espeak: ^0.1.0  # needed to compile phoneme data

2. Download a KittenTTS model

Nano (15M params, fast — recommended to start):

curl -L -o model.onnx https://huggingface.co/KittenML/kitten-tts-nano-0.8/resolve/main/kitten_tts_nano_v0_8.onnx
curl -L -o voices.npz https://huggingface.co/KittenML/kitten-tts-nano-0.8/resolve/main/voices.npz

Mini (80M params, better quality):

curl -L -o model.onnx https://huggingface.co/KittenML/kitten-tts-mini-0.8/resolve/main/kitten_tts_mini_v0_8.onnx
curl -L -o voices.npz https://huggingface.co/KittenML/kitten-tts-mini-0.8/resolve/main/voices.npz

3. Compile espeak phoneme data

dart run espeak:compile_data --all --exclude=fo --output ./espeak-data

This downloads espeak-ng source automatically and compiles phoneme data for 120 languages. fo (Faroese) is excluded because it's 5.4MB alone — add it back with --all if needed.

The compiled data is platform-independent. Only needs to run once.

Usage

import 'package:meomeo/meomeo.dart';

final meo = Meo.init(
  'model.onnx',
  voicesPath: 'voices.npz',
  espeakDataPath: './espeak-data',
);

// Text to audio (Float32List, 24kHz mono PCM)
final pcm = meo.speak('Hello world');

// Text to WAV file (16-bit PCM, 24kHz, mono)
meo.save('Hello world', 'output.wav');

// Switch voice
meo.speaker = 'Bruno';

// Speed control
final fast = meo.speak('Hello', speed: 1.5);

// Cleanup
meo.dispose();

Voices

Bella, Jasper, Luna, Bruno, Rosie, Hugo, Kiki, Leo