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
-
fix(nemo): close empirical alignment validation
- Correct NeMo native word-CTM manifest handling - Close real GPU smoke, five-row, and full-36 evidence - Record the final three-aligner selection and final 36-row annotation - Preserve historical Stage 5 evidence and bounded architecture588788b -
fix(nemo): harden pinned runtime execution
- Preserve the configured NeMo virtualenv interpreter path instead of resolving through uv symlinks - Accept pinned NeMo 3.0.0 source builds with PEP 440 local-version suffixes - Provide a workspace-local Numba cache for isolated NFA execution - Add symlink, runtime-version, cache, and real-integration regression coverage1d92c96
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chore(repo): finalize licensing and documentation
- Add the standard Apache License 2.0 and VertoX-AI copyright headers - Preserve deliberately empty package markers and the standalone worker shebang policy - Rewrite the README as a concise Hugging Face repository landing page - Add project status, modular architecture, and detailed workflow documentation - Add ASCII diagrams for application, benchmark, and backend execution flows - Normalize public branding to VertoX-AI and add repository-specific citation metadata - Add concise upstream acknowledgments and official project links - Add deterministic license-header and empty-package-marker validation - Preserve all Stage 0-5 reports, benchmark evidence, runtime pins, and implementation behavior51e84d2 -
feat(nemo): add forced alignment backend
- Add typed NeMo configuration, reference-text manifest generation, and isolated NFA execution - Parse native word CTMs into backend-neutral alignments with strict transcript reconciliation - Enforce authoritative reference-text mode and pinned NeMo script/runtime provenance - Preserve optional native alignment artifacts and expose them through benchmark reports - Add lazy library and CLI composition without importing NeMo or Torch in the parent process - Add deterministic unit, architecture, coverage, and opt-in real integration tests - Document reproducible NeMo setup and explicitly record the blocked five-row empirical run61fc10e