| # Streamalign (R16) | |
| Complete R16 speech tokenizer stack. Paired SLM: `Streamalign-SLM-R16` | |
| (reported metrics: SALMon 69.1, StoryCloze 72.1). | |
| ## Contents & how the tokenizer uses them | |
| | Path | Role | | |
| |------|------| | |
| | `rvq_teacher/epoch_16.pt` | **The acoustic tokenizer.** Contains the fine-tuned streaming encoder **and** the R16 residual-VQ quantizer (`hubert_state_dict`: 408 encoder keys + `residual_vq`). This is the checkpoint that actually produces the R16 speech units. R16-specific. | | |
| | `alignment_model/` | Char-level streaming Conformer-Transducer (`CKPT+2026-03-15`, `alignment.yaml`). Used as the base model the tokenizer is constructed from; supplies the RNN-T predictor/joiner for char-level alignment. Its encoder is overridden at load by `rvq_teacher`. R-independent. | | |
| | `streaming_asr/` | Word-level streaming Conformer-Transducer (`3419_fastemit`, `chunk_streaming_word_fastemit.yaml`, `tokenizer.ckpt`). Generates the chunk TextGrids (word alignment) and drives the boundary classifier. R-independent. | | |
| | `boundary_classifier/` | Word-boundary detector for streaming chunking; consumes `streaming_asr`. R-independent. | | |
| | `alignment.yaml` | hparams for the extractor / `alignment_model`. | | |
| ## Pipeline | |
| audio -> `streaming_asr` (word chunks + TextGrids) + `boundary_classifier` | |
| -> `alignment_model` scaffold + `rvq_teacher` encoder -> R16 RVQ units. | |
| Only `rvq_teacher/epoch_16.pt` is R16-specific; the ASR / alignment / | |
| boundary components are shared across R8/R16/R32. | |