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language:
- fa
license: cc-by-nc-4.0
library_name: nemo
pipeline_tag: automatic-speech-recognition
base_model:
- Reza2kn/Shenava-Koochik-v1.0
base_model_relation: finetune
tags:
- automatic-speech-recognition
- speech
- persian
- farsi
- fastconformer
- ctc
- streaming
- on-device
- shenava
- shenava-1
- visualears
- rnnt
- nemo
- distillation
metrics:
- wer
- cer
datasets:
- Reza2kn/visualears-persian-asr-16k
- Reza2kn/visualears-golden-6669
- Reza2kn/fleurs-fa-benchmark
---
# Shenava — Rizeh v1.0 (32M) · Persian streaming ASR
**Rizeh** (ریزه, “tiny”) is the 32M mid‑tier of the **Shenava‑1** family — a FastConformer Hybrid RNNT/CTC model distilled (logit + feature KD) from the [Koochik v1.0 114M teacher](https://huggingface.co/Reza2kn/Shenava-Koochik-v1.0). CTC head deployed. fp32 NeMo source; quants in own repos below.
## The Shenava‑1 family
A knowledge‑distillation cascade of on‑device Persian ASR models — one teacher distilled down to a 6.9M student. This model is one member; its siblings:
- [`Reza2kn/Shenava-Koochik-v1.0`](https://huggingface.co/Reza2kn/Shenava-Koochik-v1.0) — **Koochik v1.0** (114M) · teacher / flagship — on-device WER record
- [`Reza2kn/Shenava-Rizeh-v1.0`](https://huggingface.co/Reza2kn/Shenava-Rizeh-v1.0) — **Rizeh v1.0** (32M) · mid-tier student ◀ **this model (or its parent)**
- [`Reza2kn/Shenava-Rizeh-Pizeh-v1.0`](https://huggingface.co/Reza2kn/Shenava-Rizeh-Pizeh-v1.0) — **Rizeh Pizeh v1.0** (6.9M) · tiniest — real-time on a 2015 Cortex-A7
## Benchmark — fair WER/CER
ITN + Persian‑digit normalizer (the [double‑benchmark](https://huggingface.co/spaces/Reza2kn/persian-asr-double-benchmark) convention), decoded @ `att_context_size=[70,13]`.
| Member | golden‑6669 WER | CER | FLEURS‑fa WER | CER |
|---|---|---|---|---|
| Koochik v1.0 (114M) | **7.49%** | 2.30% | **10.64%** | 3.79% |
| Rizeh v1.0 (32M) | 12.11% | 3.94% | 14.45% | 5.10% |
| Rizeh Pizeh v1.0 (6.9M) | 24.55% | 8.89% | 26.95% | 10.22% |
Koochik v1.0 is **#2 on the public double‑benchmark, behind only cloud Gemini** — the best on‑device Persian ASR, beating a 1.5B Whisper‑Persian by >2× WER at 1/13 the size.
## Quantized formats (own repos)
- [`Shenava-Rizeh-v1.0-ONNX-fp16`](https://huggingface.co/Reza2kn/Shenava-Rizeh-v1.0-ONNX-fp16)
- [`Shenava-Rizeh-v1.0-CoreML-fp16`](https://huggingface.co/Reza2kn/Shenava-Rizeh-v1.0-CoreML-fp16)
32M, d_model 256 / 16 layers, ×8 subsampling, multi‑latency `[[70,13],[70,6],[70,1],[70,0]]`.
Tokenizer: ve_tok_v4 (SentencePiece BPE‑1024 +blank, digit/punct/«»‑aware). Numbers are **spoken‑form**; apply ITN at display for digits. Part of [VisualEars / Shenava](https://shenava.app).
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