ModelPublicadoExterno

OptiSpeech ConvNext TTS Es CO Marcia v1

OptiSpeech ConvNext-TTS es-CO-Marcia v1 is a Spanish single-speaker text-to-speech ONNX export trained with the OptiSpeech framework. The speaker is Marcia, targeting Colombian Spanish (es-CO).

Fuentehuggingface.co/bookbot/OptiSpeech-ConvNext-TTS-es-CO-Marcia-v1/tree/4931a902317e28804c79f4b2349582f151dfbd0a

TipoOtherVersiónConvnext tts es CO Marcia v1Ccalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 68,3 MB
Versión: vConvnext tts es CO Marcia v1
Actualizado: 31 oct 2026
Fuente: Hugging Face

Descripción de la fuente

OptiSpeech ConvNext-TTS es-CO-Marcia v1

OptiSpeech ConvNext-TTS es-CO-Marcia v1 is a Spanish single-speaker text-to-speech ONNX export trained with the OptiSpeech framework. The speaker is Marcia, targeting Colombian Spanish (es-CO).

This model uses the OptiSpeech Spanish TextProcessor at inference time. No separate gruut_*_symbols.py file is needed for this export.

Model

Model	ONNX file	Config	SR (Hz)	Mel range (Hz)	FFT / Hop / Win	Inference scales
`bookbot/OptiSpeech-ConvNext-TTS-es-CO-Marcia-v1`	`convnext-tts-es-CO-Marcia-v1.onnx`	`config_tree.log`	44100	0-22050	2048 / 512 / 2048	d=1.1, p=1.6, e=1.2

Files

convnext-tts-es-CO-Marcia-v1.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.

Training Source

This export was staged from:

logs/train/es_speaker_ddp_v2/convnext-tts-ES-Marcia.onnx
logs/train/es_speaker_ddp_v2/runs/2026-06-30_13-54-31/

The source run used:

experiment=es_speaker_ddp_finetune
run_name=es_speaker_ddp_v2

ONNX Inference

Run inference from an OptiSpeech checkout with the Spanish text processor dependencies installed:

source .venv/bin/activate
uv sync --extra es

python onnx_inference_es.py \
  --model_path convnext-tts-es-CO-Marcia-v1.onnx \
  --input "Hola, esta es una prueba de síntesis de voz en español colombiano." \
  --output_path outputs \
  --output_name marcia_v1.wav

The ONNX model expects:

x: phoneme/token IDs from optispeech.text.TextProcessor(languages=["es"])
x_lengths: input sequence lengths
scales: duration, pitch, and energy factors

The helper script handles text normalization, Spanish phonemization/tokenization, ONNXRuntime execution, and WAV writing.

Framework

OptiSpeech
ONNXRuntime
PyTorch / Lightning training stack

Fuentes

1 fuente

Hugging FacePrincipalVersión 4931a902317e28804c79f4b2349582f151dfbd0a

huggingface.co/bookbot/OptiSpeech-ConvNext-TTS-es-CO-Marcia-v1/tree/4931a902317e28804c79f4b2349582f151dfbd0a

Verificado 31 oct

Artefactos del modelo

1 artefacto

convnext-tts-es-CO-Marcia-v1.onnx

onnx · 68,3 MB · SHA-256 d78285283fbf…59a5 · Hugging Face

Download file

Extractos de fuentes

2 extractos

Readme15 agohuggingface.co/bookbot/OptiSpeech-ConvNext-TTS-es-CO-Marcia-v1

--- language: - es license: apache-2.0 tags: - audio - text-to-speech - onnx - optispeech - convnext-tts - spanish datasets: - bookbot/es-CO-Marcia inference: false --- # OptiSpeech ConvNext-TTS es-CO-Marcia v1 OptiSpeech ConvNext-TTS es-CO-Marcia v1 is a Spanish single-speaker text-to-speech ONNX export trained with the OptiSpeech framework. The speaker is Marcia, targeting Colombian Spanish (`es-CO`). This model uses the OptiSpeech Spanish `TextProcessor` at inference time. No separate `gruut_*_symbols.py` file is needed for this export. ## Model | Model | ONNX file | Config | SR (Hz) | Mel range (Hz) | FFT / Hop / Win | Inference scales | | --- | --- | --- | --- | --- | --- | --- | | `bookbot/OptiSpeech-ConvNext-TTS-es-CO-Marcia-v1` | `convnext-tts-es-CO-Marcia-v1.onnx` | `config_tree.log` | 44100 | 0-22050 | 2048 / 512 / 2048 | d=1.1, p=1.6, e=1.2 | ## Files - `convnext-tts-es-CO-Marcia-v1.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. ## Training Source This export was staged from: ```text logs/train/es_speaker_ddp_v2/convnext-tts-ES-Marcia.onnx logs/train/es_speaker_ddp_v2/runs/2026-06-30_13-54-31/ ``` The source run used: ```text experiment=es_speaker_ddp_finetune run_name=es_speaker_ddp_v2 ``` ## ONNX Inference Run inference from an OptiSpeech checkout with the Spanish text processor dependencies installed: ```sh source .venv/bin/activate uv sync --extra es python onnx_inference_es.py \ --model_path convnext-tts-es-CO-Marcia-v1.onnx \ --input "Hola, esta es una prueba de síntesis de voz en español colombiano." \ --output_path outputs \ --output_name marcia_v1.wav ``` The ONNX model expects: - `x`: phoneme/token IDs from `optispeech.text.TextProcessor(languages=["es"])` - `x_lengths`: input sequence lengths - `scales`: duration, pitch, and energy factors The helper script handles text normalization, Spanish phonemization/tokenization, ONNXRuntime execution, and WAV writing. ## Framework - OptiSpeech - ONNXRuntime - PyTorch / Lightning training stack

Note15 agohuggingface.co/bookbot/OptiSpeech-ConvNext-TTS-es-CO-Marcia-v1

Source context: 0 downloads · 0 likes · Pipeline text-to-speech · Repo bookbot/OptiSpeech-ConvNext-TTS-es-CO-Marcia-v1