| --- |
| language: |
| - uz |
| - ru |
| task_categories: |
| - automatic-speech-recognition |
| tags: |
| - forced-alignment |
| - nemo |
| - stt-training |
| --- |
| |
| # Forced-Aligned STT Dataset |
|
|
| Source dataset: `instinct-org/cv_chunked` |
|
|
| Aligned dataset: `instinct-org/cv_chunked_nfa_aligned` |
|
|
| Rows: 71097 successfully aligned rows |
|
|
| This dataset adds NeMo Forced Aligner metadata for STT training and timestamp quality |
| control. Source rows that did not produce usable CTM alignments are excluded from the |
| published data. |
|
|
| Added columns: |
|
|
| - `nfa_token_alignments`: NeMo token/subword CTM spans |
| - `nfa_word_alignments`: word-level CTM spans |
| - `nfa_segment_alignments`: segment-level CTM spans |
| - `nfa_character_alignments`: character spans; true only when the model token CTM is character |
| level, otherwise derived from word spans |
| - `nfa_character_alignment_source` |
| - `nfa_true_character_alignment` |
| - `nfa_alignment_model` |
| - `nfa_alignment_status` |
| - `nfa_alignment_error` |
|
|
| NeMo Forced Aligner emits token, word, and segment CTM levels for this model family. With |
| BPE/subword ASR models, token level is not the same as character level. |
|
|
| Model: `nvidia/stt_uz_fastconformer_hybrid_large_pc` |
|
|
