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
-
docs(aligners): freeze Stage 0 architecture and tooling
- Freeze the modular backend-neutral architecture for NeMo, MFA, and WhisperX - Record backend research, model/runtime decisions, and isolated environment specifications - Add repository agent instructions and alignment engineering contracts - Define reusable core, application, backend adapter, and CLI dependency boundaries - Enforce complete docstrings, type hints, focused tests, and 90% per-file coverage - Pin the Stage 1 quality toolchain and canonical lint, type, coverage, and import checks - Record immutable dataset inputs, validation hashes, and Stage 1 readiness02a36e8