KoSP2E ASR Recipe
This is the ESPnet2 recipe for the KoSP2E (Korean Speech Perception and Production Experiment) dataset.
Overview
The KoSP2E dataset is a large-scale Korean speech corpus designed for speech perception and production experiments. This recipe provides a full ASR pipeline using ESPnet2 with both Transformer and Conformer architectures.
Results
Environment
- Date: Mon Nov 10 20:35:20 UTC 2025
- Python: 3.10.19
- ESPnet: 202509
- PyTorch: 2.9.0+cu128
- Model: Conformer (BPE=2000)
- Decode: Transformer LM (valid.acc.ave)
WER
| dataset | Snt | Wrd | Corr | Sub | Del | Ins | Err | S.Err |
|---|---|---|---|---|---|---|---|---|
| test | 2320 | 22337 | 77.1 | 20.4 | 2.6 | 4.4 | 27.4 | 76.4 |
CER
| dataset | Snt | Wrd | Corr | Sub | Del | Ins | Err | S.Err |
|---|---|---|---|---|---|---|---|---|
| test | 2320 | 84267 | 92.5 | 5.7 | 1.8 | 1.7 | 9.2 | 76.4 |
TER
| dataset | Snt | Wrd | Corr | Sub | Del | Ins | Err | S.Err |
|---|---|---|---|---|---|---|---|---|
| test | 2320 | 65361 | 89.4 | 8.6 | 2.0 | 2.1 | 12.7 | 76.4 |
References
- KoSP2E paper: https://arxiv.org/abs/2107.02875