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When performing index reduction with a smaller index size, I feel that the inference of silent parts become noisy.
Shouldn't mute.npy be excluded from the k-means algorithm, given that mute.wav is a special file?
When performing index reduction with a smaller index size, I feel that the inference of silent parts become noisy.
Shouldn't mute.npy be excluded from the k-means algorithm, given that mute.wav is a special file?
少ないインデックスサイズでインデックスの削減を行う際、無音部分の推論がノイズになると感じます。
mute.wavが特別なファイルであることを考慮すると、mute.npyはk-meansアルゴリズムから除外すべきではないですか?
terracottahaniwa@1420aaa
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