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es-CO).TextProcessor at inference time. No separate gruut_*_symbols.py file is needed for this export.| Model | ONNX file | Config | SR (Hz) | Mel range (Hz) | FFT / Hop / Win | Inference scales |
|---|---|---|---|---|---|---|
bookbot/OptiSpeech-ConvNext-TTS-es-CO-Marcia-v0 | convnext-tts-es-CO-Marcia-v0.onnx | config_tree.log | 44100 | 0-22050 | 2048 / 512 / 2048 | d=1.1, p=1.6, e=1.2 |
convnext-tts-es-CO-Marcia-v0.onnx: ONNX text-to-waveform export.config_tree.log: rendered training configuration.training_metadata/config.yaml: Hydra training config.training_metadata/hydra.yaml: Hydra runtime config.training_metadata/overrides.yaml: command-line overrides for the source run.onnx_inference_es.py: Spanish ONNX inference helper.1logs/train/es_speaker_ddp/convnext-tts-ES-Marcia.onnx
2logs/train/es_speaker_ddp/runs/2026-06-22_18-42-17/1experiment=es_speaker_ddp
2ckpt_path=logs/train/es_speaker_ddp/resume.ckpt1source .venv/bin/activate
2uv sync --extra es
3
4python onnx_inference_es.py \
5 --model_path convnext-tts-es-CO-Marcia-v0.onnx \
6 --input "Hola, esta es una prueba de síntesis de voz en español colombiano." \
7 --output_path outputs \
8 --output_name marcia_v0.wavx: phoneme/token IDs from optispeech.text.TextProcessor(languages=["es"])x_lengths: input sequence lengthsscales: duration, pitch, and energy factors