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  "access_rights": "",
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  "author": "Sungho Jeon",
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  "author": "Sungho Jeon",
            
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  "author_email": "",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2311.02772",
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  "defined_in": "https://doi.org/10.48550/arXiv.2311.02772",
            
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  "doi": "10.57702/ufrpgxjm",
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  "doi": "10.57702/ufrpgxjm",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-02",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Ching-Feng Yeh",
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      "extra_author": "Ching-Feng Yeh",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Hakan Inan",
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      "extra_author": "Hakan Inan",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Wei-Ning Hsu",
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      "extra_author": "Wei-Ning Hsu",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Rashi Rungta",
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      "extra_author": "Rashi Rungta",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Yashar Mehdad",
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      "extra_author": "Yashar Mehdad",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Daniel Bikel",
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      "extra_author": "Daniel Bikel",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "name": "audio-pre-training",
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      "name": "audio-pre-training",
            
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      "title": "Audio Pre-training"
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      "title": "Audio Pre-training"
            
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      "title": "Self-Supervised Learning"
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      "title": "Self-Supervised Learning"
            
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  "landing_page": "https://arxiv.org/abs/2106.01465",
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  "name": "hubert-framework",
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  "name": "hubert-framework",
            
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  "notes": "The dataset used in this paper is a self-supervised audio 
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  "notes": "The dataset used in this paper is a self-supervised audio 
            
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pre-training framework called HuBERT.",
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pre-training framework called HuBERT.",
            
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}