File size: 2,158 Bytes
116b9cd 9a4a365 0872ab9 7c62b5e 0872ab9 116b9cd 9a4a365 116b9cd 0872ab9 1ddcb7b 116b9cd 0872ab9 116b9cd 1ddcb7b 6292da8 1ddcb7b 116b9cd 1ddcb7b 0872ab9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 | ---
base_model:
- Qwen/Qwen2-Audio-7B-Instruct
language:
- en
library_name: transformers
pipeline_tag: audio-to-audio
tags:
- lora
license: apache-2.0
---
# StresSLM
**StresSLM** is an audio-to-audio model fine-tuned with LoRA adapters on top of the [`Qwen/Qwen2-Audio-7B-Instruct`](https://huggingface.co/Qwen/Qwen2-Audio-7B-Instruct) base model. It is designed to tackle **Sentence Stress Detection (SSD)** and **Sentence Stress Reasoning (SSR)** tasks on the StressTest benchmark.
StresSLM predicts **stress patterns** and **reasoning** based on spoken audio.
For more information, see our paper and code:
📃 [StressTest Paper](https://arxiv.org/abs/2505.22765) | 💻 [Code](https://github.com/slp-rl/StressTest) | 🌍 [Project Page](https://pages.cs.huji.ac.il/adiyoss-lab/stresstest/) | 🤗 [StressTest Dataset](https://huggingface.co/datasets/slprl/StressTest)
---
## Usage
This model can be loaded using the HuggingFace Transformers library:
```python
from transformers import AutoProcessor, Qwen2AudioForConditionalGeneration
from peft import PeftModel, PeftConfig
# Load processor
processor = AutoProcessor.from_pretrained("Qwen/Qwen2-Audio-7B-Instruct")
# Load LoRA config and base model
peft_config = PeftConfig.from_pretrained("slprl/StresSLM")
base_model = Qwen2AudioForConditionalGeneration.from_pretrained(peft_config.base_model_name_or_path)
# Load LoRA adapter
model = PeftModel.from_pretrained(base_model, "slprl/StresSLM")
```
---
## Tasks
* **Sentence Stress Detection (SSD)**: Identify stressed words in an utterance.
* **Sentence Stress Reasoning (SSR)**: Reason about the speaker’s intention using stress patterns.
For evaluation scripts and benchmarks, refer to the [StressTest GitHub repository](https://github.com/slp-rl/StressTest).
---
## 📖 Citation
If you use this model, please cite:
```bibtex
@misc{yosha2025stresstest,
title={StressTest: Can YOUR Speech LM Handle the Stress?},
author={Iddo Yosha and Gallil Maimon and Yossi Adi},
year={2025},
eprint={2505.22765},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2505.22765},
}
``` |