Datasets:
Tasks:
Question Answering
Modalities:
Audio
Formats:
soundfolder
Languages:
English
Size:
< 1K
ArXiv:
License:
license: apache-2.0 | |
task_categories: | |
- question-answering | |
language: | |
- en | |
size_categories: | |
- n<1K | |
# 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 |