kosp2e-asr-ko

Usage

import librosa
from espnet2.bin.asr_inference import Speech2Text

speech2text = Speech2Text.from_pretrained(model_tag="espnet/kosp2e-asr-ko")
# librosa resamples and mixes to one channel, so any file works; 16000 is
# what nearly every espnet recogniser is trained on - check this model's
# config if its audio is not 16 kHz
speech, rate = librosa.load("audio.wav", sr=16000, mono=True)
text, *_ = speech2text(speech)[0]
print(text)

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

CER

TER

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References

• KoSP2E paper: https://arxiv.org/abs/2107.02875

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