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
-
feat(readiness): add W1-T semantic timing proxy
- Add backend-neutral semantic-readiness timing extraction and cross-aligner consensus - Add deterministic W1-token to lexical-alignment mapping with explicit uncertainty handling - Add reuse-first NeMo, MFA, and WhisperX evidence validation and provenance checks - Add CLI and application workflows for offline-only semantic-readiness timing - Add runtime-isolation, architecture, token-mapping, consensus, and coverage tests - Document the provisional non-human-measured W1-T evaluation contractc9761c3