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@@ -17,11 +17,11 @@ Datasets:
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  All of the datasets used to train these models are:
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- 1. Of at least 20-25 minutes long and are collected from online videos, audios of interviews, blogs, and more of said speaker.
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  2. These datasets are edited to contain the best high-quality audio of the speaker's voice with no background noise, music, silence, or any artifacts.
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- 3.The sample rate of all of these datasets are 44100 hz with the training using the 48k hz.
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  4. For the dataset recording and extraction process sometimes it may not be 100% perfect due to background noise or music interfering and in some cases
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  I may not even reach to the 20-25 minute mark since there may be very little or no data available, as such I also reduce the number of epochs to 200 to
 
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  All of the datasets used to train these models are:
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+ 1. Of at least 20-25 minutes long and are collected from online videos, audios of interviews, blogs, and more of said speaker (Mostly interviews as its way easier to collect, edit, and polish).
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  2. These datasets are edited to contain the best high-quality audio of the speaker's voice with no background noise, music, silence, or any artifacts.
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+ 3.The sample rate of all of these datasets are 48k hz with the training using the 48k hz.
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  4. For the dataset recording and extraction process sometimes it may not be 100% perfect due to background noise or music interfering and in some cases
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  I may not even reach to the 20-25 minute mark since there may be very little or no data available, as such I also reduce the number of epochs to 200 to