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  "author": "Jonathan Shen",
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  "author": "Jonathan Shen",
            
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  "doi": "10.57702/zqlar2lx",
            
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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": "Ye Jia",
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      "extra_author": "Ye Jia",
            
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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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      "extra_author": "Mike Chrzanowski",
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      "extra_author": "Mike Chrzanowski",
            
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Yu Zhang",
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      "extra_author": "Yu Zhang",
            
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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": "Isaac Elias",
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      "extra_author": "Isaac Elias",
            
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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": "Heiga Zen",
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      "extra_author": "Heiga Zen",
            
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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": "Yonghui Wu",
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      "extra_author": "Yonghui Wu",
            
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      "orcid": ""
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      "orcid": ""
            
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      "name": "speech-synthesis",
            
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      "title": "Speech Synthesis"
            
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  "name": "non-attentive-tacotron",
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  "name": "non-attentive-tacotron",
            
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  "notes": "Non-Attentive Tacotron is a neural text-to-speech model 
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  "notes": "Non-Attentive Tacotron is a neural text-to-speech model 
            
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that combines a robust duration predictor with an autoregressive 
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that combines a robust duration predictor with an autoregressive 
            
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decoder.",
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decoder.",
            
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      "name": "non-attentive",
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      "name": "non-attentive",
            
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  "title": "Non-Attentive Tacotron",
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  "title": "Non-Attentive Tacotron",
            
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  "type": "dataset",
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  "version": ""
            
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}
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}