Automatic Speech Recognition
Transformers
qwen3-asr
latent-reasoning
test-time-compute
parameter-efficient
Instructions to use voidful/latentASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/latentASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="voidful/latentASR")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("voidful/latentASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,388 Bytes
262fa3f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 | # Results
This release includes JSON and Markdown outputs under `results/`. The most
important caveat is that the clean benchmark gains are single-run directional
point estimates, not statistically established improvements.
## Clean Main Benchmarks
| Model | FLEURS WER | VoxPopuli WER |
| --- | ---: | ---: |
| Frozen Qwen3-ASR baseline | 4.900 | 9.038 |
| LatentASR, N=4, theta=0 | 4.776 | 8.995 |
Relative WER deltas:
- FLEURS: `-2.54%`
- VoxPopuli: `-0.47%`
## Robustness Diagnostics
At SNR `0` dB:
| Dataset | Baseline WER | LatentASR WER | Relative delta |
| --- | ---: | ---: | ---: |
| FLEURS | 29.81 | 29.42 | -1.32% |
| VoxPopuli | 19.71 | 19.51 | -1.02% |
Stress broad suite weighted aggregate:
- Baseline WER: `36.843`
- LatentASR WER: `36.265`
- Delta: `-0.578` pp (`-1.57%` relative)
## ASCEND Diagnostic
ASCEND CER:
- Baseline: `57.81`
- LatentASR: `48.55`
- Relative CER delta: `-16.02%`
This is explicitly treated as an overlap-confounded in-domain diagnostic.
ASCEND contributes 5/500 activation utterances and speaker-disjointness was not
enforced.
## Included Result Folders
- `results/paper500_main_eval_20260518/`
- `results/paper500_english_clean_noise_20260518/`
- `results/paper500_multilingual_streaming_20260518/`
- `results/paper500_threshold_20260518/`
- `results/paper500_more_testing_stress_20260525/`
- `results/paper500_ascend_20260518/`
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