PDO_S2TT

hf-wzx1205/PDO_S2TT

PDO_S2TT is a machine learning model from hf-wzx1205. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as apache-2.0.

Official checkpoints for the ICASSP 2027 submission:

Downloads · 30 days

Access

Public

Updated Sep 20, 2026

Repo size

292 MB

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Public

Hugging Face

Repo makeup

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.pt146 MB · 100%

At a glance

Library: pytorch
License: apache-2.0
Access: Public
Created: Sep 20, 2026
Updated: Sep 20, 2026
SHA: 75f183df

Base models

Qwen/Qwen3-ASR-1.7B

Model card

From the Hugging Face model README

PDO_S2TT

Official checkpoints for the ICASSP 2027 submission:

PERSISTENT DELIVERY OPTIMIZATION FOR STREAMING SPEECH-TO-TEXT TRANSLATION WITH REVISIONS

PDO is a history-conditioned, direct streaming speech-to-text translation policy. It receives a growing English speech prefix together with the previously displayed translation and may wait, append, or revise the complete visible target-language draft.

Inference, evaluation, and PDO training code

Released checkpoints

File	Description
`pdo_s2tt.pt`	Inference-only LoRA and history-conditioning weights
`pdo_s2tt_sft.pt`	SFT initialization for reproducing PDO reinforcement learning

Both checkpoints use Qwen/Qwen3-ASR-1.7B as the base model. The public repository includes the complete multilingual PDO reinforcement-learning stage, its frozen FLEURS training targets, evaluation code, and a four-GPU smoke test. The preceding supervised-training stages and optimizer state are not included.

Supported directions

En->Zh
En->De
En->Es
En->Ja
En->Fr

Download

The paper release is pinned to revision 62c27b03aa1d7da1b739e43e815796029ee243f5:

hf download hf-wzx1205/PDO_S2TT pdo_s2tt.pt \
  --revision 62c27b03aa1d7da1b739e43e815796029ee243f5 \
  --local-dir checkpoints

hf download hf-wzx1205/PDO_S2TT pdo_s2tt_sft.pt \
  --revision 62c27b03aa1d7da1b739e43e815796029ee243f5 \
  --local-dir checkpoints

See the GitHub training instructions for the released G=4 recipe and complete reproduction workflow.

FLEURS TEST results

Direction	BLEU	COMET	chrF++	FTL	FRD	LAAL-CU mean / P90	RTF
En->Zh	38.16	86.31	26.92	2.00	2.33	3.53 / 6.61	.39
En->De	29.57	84.22	57.03	2.00	2.42	3.08 / 5.65	.57
En->Es	23.35	83.57	50.88	2.00	2.44	2.51 / 4.44	.57
En->Ja	28.66	88.50	26.47	2.00	2.47	3.67 / 6.23	.57
En->Fr	38.16	84.26	62.06	2.00	2.44	2.46 / 4.93	.59
Macro	31.58	85.37	44.67	2.00	2.42	3.05 / 5.66	.54

FRD and RTF include measured computation; the values above were measured on one RTX 4090. All five directions have 100% final-output coverage.

Intended use

These checkpoints are released for research and reproducibility in revision-capable simultaneous speech translation. They should be used with the accompanying inference and evaluation code. Performance outside the five released English-to-X directions has not been established.

License

The released PDO_S2TT checkpoints are licensed under the Apache License 2.0. The separately distributed Qwen/Qwen3-ASR-1.7B base model is also released under Apache-2.0. FLEURS data and references remain subject to their original dataset licenses.

Library: pytorch
License: apache-2.0
Languages: en, zh, de, es, ja, fr
Created: Sep 20, 2026
Updated: Sep 20, 2026