---
license: cc-by-4.0
language:
- ko
pipeline_tag: automatic-speech-recognition
tags:
- espnet
- audio
- automatic-speech-recognition
---
# KoSP2E ASR Recipe

This is the ESPnet2 recipe for the **KoSP2E (Korean Speech Perception and Production Experiment)** dataset.

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# 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.

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# 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 |

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# References
* KoSP2E paper: https://arxiv.org/abs/2107.02875
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