echodict/asr_rnnt_eou_from_scratch
NeMo ASR-EOU 训练脚本解读与论文出处梳理 目标文件：examples/asr/asr_eou/speech_to_text_rnnt_eou_train.py链接：https://github.com/NVIDIA-NeMo/NeMo/blob/main/examples/asr/asr_eou/speech_to_text_rnnt_eou_train.py 这份脚本本身是一个 训练入口脚本（Hydra + PyTorch Lightning），核心功能是：按配置创建 EncDecRNNTBPEEOUModel，并支持从已有 .nemo 初始化、添加/训练 adapter，以及在“词表扩展（新增 <EOU>/<EOB>）”时做权重迁移。 下面按“它用到的技术点 → 在代码/配置里怎么体现 → 原始论文出处”总结。 1) ASR-EOU：把“端点/话轮信息”并入 ASR（<EOU>, <EOB>） 它做什么： 除了输出转写文本外，还让模型在时间轴上预测： EOU：End Of… See the full description on the dataset page: https://huggingface.co/datasets/echodict/asr_rnnt_eou_from_scratch.
| Author / organization | echodict |
|---|---|
| Downloads | 509 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 16 April 2026 |
| Last updated at source | 27 April 2026 |
Popularity, last 3 days
509 now. Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: NeMo ASR-EOU 训练脚本解读与论文出处梳理 目标文件：examples/asr/asr_eou/speech_to_text_rnnt_eou_train.py链接：https://github.com/NVIDIA-NeMo/NeMo/blob/main/examples/asr/asr_eou/speech_to_text_rnnt_eou_train.py 这份脚本本身是一个 训练入口脚本（Hydra + PyTorch Lightning），核心功能是：按配 → NeMo ASR-EOU 训练脚本解读与论文出处梳理 目标文件：examples/asr/asr_eou/speech_to_text_rnnt_eou_train.py链接：https://github.com/NVIDIA-NeMo/NeMo/blob/main/examples/asr/asr_eou/speech_to_text_rnnt_eou_train.py 这份脚本本身是一个 训练入口脚本（Hydra + PyTorch Lightning），核心功能是：按配
Changes detected by Silytics between refreshes of the source.
More from echodict
- echodict/KakologArchives_duplicateDataset
- echodict/NeMo_RNNT_EOUDataset
- echodict/mushroomDataset
- echodict/typst_hlmDataset
- echodict/NeMoDataset
- echodict/llama.cppDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.