Model reference · open weights

kosp2e-asr-ko

Audio espnet Speech→text 1 build Open weights 0 dl/mo

kosp2e-asr-ko is an open-weight audio or speech model from espnet. kosp2e-asr-ko (BF16) weighs 447 MB; the smallest configuration that runs it is RTX 3060 12 GB.

  • kosp2e-asr-ko is an automatic speech recognition model developed by espnet for the Korean language.
  • It is trained on the KoSP2E dataset and utilizes Conformer and Transformer architectures.
  • The model is released under the cc-by-4.0 license.

Summary of the espnet/kosp2e-asr-ko model card, 2026-10-01

What it is

Released byespnet
Released2025-11-21
VRAM447 MB for the weights

What it runs on

Memory and cards for kosp2e-asr-ko (BF16)

447 MBweights, file size
1.6 GBruntime overhead
CardOne streamMemory
RTX 3060 12 GBfits11.6 GB
RTX 4060 Ti 16 GBfits15.4 GB
RTX 3090 24 GBfits23.4 GB
RTX 4090 24 GBfits23.4 GB
RTX 5090 32 GBfits31.0 GB
L40S 48 GBfits44.0 GB
A100 80 GBfits78.2 GB
H100 80 GBfits78.1 GB
RTX PRO 6000 Blackwell 96 GBfits93.8 GB
DGX Spark (GB10) 128 GB unifiedfits107 GB
H200 141 GBfits138 GB
B200 180 GBfits176 GB

From the model card

What espnet says about kosp2e-asr-ko

Read the model card

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

datasetSntWrdCorrSubDelInsErrS.Err
test23202233777.120.42.64.427.476.4

CER

datasetSntWrdCorrSubDelInsErrS.Err
test23208426792.55.71.81.79.276.4

TER

datasetSntWrdCorrSubDelInsErrS.Err
test23206536189.48.62.02.112.776.4

References

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

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

How it works

How audio & music work

Audio or textinputAudio modelrecognise / synthesiseText or audiooutputSpeech-to-text turns audio into text; text-to-speech and music models turn text into audio.
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