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CLASP

Automatic Speech Recognition
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@@ -9,7 +9,7 @@ pipeline_tag: automatic-speech-recognition
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  [![arXiv](https://img.shields.io/badge/arXiv-Paper-<COLOR>.svg)](https://arxiv.org/abs/2412.13071) [![GitHub](https://img.shields.io/badge/GitHub-Code-181717?logo=github)](https://github.com/language-modeling-lab/CLASP)
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- CLASP (Contrastive Language-Speech Pretraining) is a novel, lightweight, multilingual, multimodal representation designed for audio-text retrieval.
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  To learn more about our proposed model, please refer to this [paper](https://arxiv.org/abs/2412.13071). All code is available on this [GitHub page](https://github.com/language-modeling-lab/CLASP).
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  The newly introduced dataset, SpeechBrown, which we created for training this model, can be found on [this page](https://huggingface.co/datasets/llm-lab/SpeechBrown)
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  [![arXiv](https://img.shields.io/badge/arXiv-Paper-<COLOR>.svg)](https://arxiv.org/abs/2412.13071) [![GitHub](https://img.shields.io/badge/GitHub-Code-181717?logo=github)](https://github.com/language-modeling-lab/CLASP)
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+ **CLASP** (Contrastive Language-Speech Pretraining) is a novel, lightweight, multilingual, multimodal representation designed for audio-text retrieval.
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  To learn more about our proposed model, please refer to this [paper](https://arxiv.org/abs/2412.13071). All code is available on this [GitHub page](https://github.com/language-modeling-lab/CLASP).
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  The newly introduced dataset, SpeechBrown, which we created for training this model, can be found on [this page](https://huggingface.co/datasets/llm-lab/SpeechBrown)
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