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...
Model source
Source description
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).
Trained on , 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.
Sources
1 sourceVerified Sep 21
Model artifacts
1 artifactSource excerpts
2 excerptsimport 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:
{
"tts": {
"module": "ovos-tts-plugin-phoonnx",
"ovos-tts-plugin-phoonnx": {
"voice": "OpenVoiceOS/phoonnx_ast_miro_unicode"
}
}
}
Apache 2.0
--- 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
Source context: 0 downloads · 0 likes · Pipeline text-to-speech · Repo OpenVoiceOS/phoonnx_ast_miro_unicode