LongSpeech-Eval
收藏魔搭社区2025-11-27 更新2025-07-26 收录
下载链接：
https://modelscope.cn/datasets/ICTNLP/LongSpeech-Eval
下载链接
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资源简介：
# The proposed Long-Speech understanding evaluation dataset for the paper '[FastLongSpeech: Enhancing Large Speech-Language Models for Efficient Long-Speech Processing](https://arxiv.org/abs/2507.14815)'
## Usage
First download the model from [Model](https://huggingface.co/ICTNLP/FastLongSpeech).
Then please refer to [Github Page](https://github.com/ictnlp/FastLongSpeech).
### Requirements
We suggest to run with Python 3.10.
Examples of usage:
```
git clone https://github.com/ictnlp/FastLongSpeech.git
cd transformers-main
pip install -e .
pip install deepspeed sentencepiece librosa
```
## Training Model
- https://huggingface.co/ICTNLP/FastLongSpeech
## Github Pages
- https://github.com/ictnlp/FastLongSpeech
# 对应论文《FastLongSpeech：面向高效长语音处理的大规模语音语言模型优化》（[FastLongSpeech: Enhancing Large Speech-Language Models for Efficient Long-Speech Processing](https://arxiv.org/abs/2507.14815)）所提出的长语音理解评测数据集
## 使用方法
首先从[模型仓库](https://huggingface.co/ICTNLP/FastLongSpeech)下载对应模型。
随后请参考[GitHub 仓库页面](https://github.com/ictnlp/FastLongSpeech)完成后续操作。
### 依赖要求
我们建议使用Python 3.10版本运行本项目。
使用示例如下：
git clone https://github.com/ictnlp/FastLongSpeech.git
cd transformers-main
pip install -e .
pip install deepspeed sentencepiece librosa
## 训练模型
- https://huggingface.co/ICTNLP/FastLongSpeech
## GitHub 仓库页面
- https://github.com/ictnlp/FastLongSpeech
提供机构：
maas
创建时间：
2025-07-20
