Phoonnx Ast Miro Unicode

--- datasets: - TigreGotico/tts_vc_mcv-scripted-v23.0_ast_miro language: - ast base_model: - OpenVoiceOS/phoonnx_gl-ES_miro_unicode pipeline_tag: text-to-speech tags: - vits - phoonnx - onnx - tts --- # phoonnx\_ast\_miro\_unicode A text-to-speech voice model for **Asturian (ast)** using the phoonnx VITS architecture, exported to ONNX for efficient CPU inference. The voice persona is **Miro** — a male speaker adapted via voice conversion from a Galician base model (`phoonnx_gl-ES_miro_unicode`). ## Training data Trained on [TigreGotico/tts\_vc\_mcv-scripted-v23.0\_ast\_miro](https://huggingface.co/datasets/TigreGotico/tts_vc_mcv-scripted-v23.0_ast_miro), a synthetic voice-conversion dataset derived from Mozilla Common Voice scripted prompts (release 23.0). Audio was synthesised with a donor TTS voice and then converted to the Miro speaker identity using voice-conversion techniques, producing a multi-hour single-speaker corpus for Asturian. ## Usage ```python import wave from phoonnx.config import SynthesisConfig from phoonnx.voice import TTSVoice voice = TTSVoice.from_hf("OpenVoiceOS/phoonnx_ast_miro_unicode") synthesis_config = SynthesisConfig(noise_scale=0.667, length_scale=1.0, noise_w_scale=0.8) with wave.open("output.wav", "wb") as wav_file: voice.synthesize_wav("Bones díes, ¿cómo tas?", wav_file, synthesis_config) ``` Or via the OVOS TTS plugin: ```json { "tts": { "module": "ovos-tts-plugin-phoonnx", "ovos-tts-plugin-phoonnx": { "voice": "OpenVoiceOS/phoonnx_ast_miro_unicode" } } } ``` ## License Apache 2.0

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