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# **CaReAQA: Audio-Based Question Answering Model**
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CaReAQA is an **audio-based question answering (QA) model** that integrates an **audio encoder
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## **Model Information**
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CaReAQA is built to handle **open-ended spoken question answering**. It is designed to process **audio input**, extract relevant linguistic information, and generate text-based responses. The model follows a **two-stage pipeline**:
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1. **Audio Encoding** - Uses a **pretrained
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2. **Text Generation** - Uses a **fine-tuned LLaMA model** to generate answers.
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The model supports:
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# **CaReAQA: Audio-Based Question Answering Model**
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CaReAQA is an **audio-based question answering (QA) model** that integrates an **audio encoder** with a **pretrained language model** to process spoken queries and generate text responses.
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## **Model Information**
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CaReAQA is built to handle **open-ended spoken question answering**. It is designed to process **audio input**, extract relevant linguistic information, and generate text-based responses. The model follows a **two-stage pipeline**:
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1. **Audio Encoding** - Uses a **pretrained encoder** to process speech signals.
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2. **Text Generation** - Uses a **fine-tuned LLaMA model** to generate answers.
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The model supports:
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