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  # StresSLM
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- ## How to use
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- ## Citation
 
 
 
 
 
 
 
 
 
 
 
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  # StresSLM
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+ **StresSLM** is an audio-text-to-text 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.
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+ StresSLM predicts **stress patterns** and **reasoning** based on spoken audio.
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+ For more information, see our paper and code:
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+ 📃 [StressTest Paper](https://arxiv.org/abs/2505.22765) | 💻 [Code](https://github.com/slp-rl/StressTest) | 🤗 [StressTest Dataset](https://huggingface.co/datasets/slprl/StressTest)
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+ ---
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+
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+ ## 🎯 Model Overview
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+
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+
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+
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+ ---
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+
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+ ## 🔧 Usage
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+
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+ This model can be loaded using the HuggingFace Transformers library:
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+
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+ ```python
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+ from transformers import AutoProcessor, Qwen2AudioForConditionalGeneration
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+ from peft import PeftModel, PeftConfig
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+
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+ # Load processor
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+ processor = AutoProcessor.from_pretrained("Qwen/Qwen2-Audio-7B-Instruct")
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+
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+ # Load LoRA config and base model
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+ peft_config = PeftConfig.from_pretrained("slprl/StresSLM")
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+ base_model = Qwen2AudioForConditionalGeneration.from_pretrained(peft_config.base_model_name_or_path)
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+
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+ # Load LoRA adapter
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+ model = PeftModel.from_pretrained(base_model, "slprl/StresSLM")
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+ ```
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+
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+ ---
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+
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+ ## Tasks
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+
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+ * **Sentence Stress Detection (SSD)**: Identify stressed words in an utterance.
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+ * **Sentence Stress Reasoning (SSR)**: Reason about the speaker’s intention using stress patterns.
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+
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+ For evaluation scripts and benchmarks, refer to the [StressTest GitHub repository](https://github.com/slp-rl/StressTest).
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+
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+ ---
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+
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+ ## 📖 Citation
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+
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+ If you use this model, please cite:
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+ ```bibtex
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+ @misc{yosha2025stresstest,
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+ title={StressTest: Can YOUR Speech LM Handle the Stress?},
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+ author={Iddo Yosha and Gallil Maimon and Yossi Adi},
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+ year={2025},
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+ eprint={2505.22765},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2505.22765},
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+ }
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+ ```