NeMo
English
audio
speech
forced-alignment
reference-text-alignment
speech-processing
mfa
whisperx
python
metric:mae
Eval Results (legacy)
Instructions to use vertox-ai/speech-text-data-aligners with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use vertox-ai/speech-text-data-aligners with NeMo:
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- Notebooks
- Google Colab
- Kaggle
Commit History
15 days ago
-
docs: refine aligner documentation
- Rebuild README.md as a Hugging Face-style framework card with tags, license, model/configuration coverage, usage, metrics, limitations, and references. - Add config.json as a tested machine-readable project/model manifest and bind its schema, versions, backends, model identities, and canonical hash to source/evidence values. - Add root ARCHITECTURE.md and focused configuration, evaluation, testing, workflow, and documentation-map guidance for current operating use. - Preserve historical reports while clarifying current contracts, empirical boundaries, readiness outputs, and the selected MFA operational configuration. - Add deterministic manifest and local Markdown-link quality tests with approved Python headers. - Record plans, review drafts, baseline/final work data, and validation logs under .agents while excluding private and raw orchestrator artifacts. - Update AGENTS.md and SKILLS.md with durable documentation and manifest integrity requirements.a3b146e