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關於網路輸入 帧拓展 #5
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不好意思,我已经好久好久没有接触过相关内容了,忘记了您说的问题,您具体可以看下
您要不看下https://github.com/philipperemy/deep-speaker,看着它还在维护,
…------------------ 原始邮件 ------------------
发件人: "wangleiai/dVectorSpeakerRecognition" ***@***.***>;
发送时间: 2021年12月4日(星期六) 晚上10:34
***@***.***>;
***@***.***>;
主题: [wangleiai/dVectorSpeakerRecognition] 關於網路輸入 帧拓展 (Issue #5)
你好
想請問原本的論文所使用的帧拓展
做完framing和mel filter之後 (假設為300個frame, 40 mel)
取中間值第150個frame的前40和後10個frame,共51個frame當作輸入
從第41個fame後,取每個frame的前40和後10個frame當作輸入
以上2點並在最後攤平整合成一個[1, *]的輸入
請問是哪一個,謝謝
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好的感謝你的回覆 順便想問一下如果照你的輸入方法 謝謝 |
具体真的忘了
…------------------ 原始邮件 ------------------
发件人: "wangleiai/dVectorSpeakerRecognition" ***@***.***>;
发送时间: 2021年12月4日(星期六) 晚上11:05
***@***.***>;
***@***.******@***.***>;
主题: Re: [wangleiai/dVectorSpeakerRecognition] 關於網路輸入 帧拓展 (Issue #5)
好的感謝你的回覆
順便想問一下如果照你的輸入方法
最後的準確率為多少
謝謝
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你好
想請問原本的論文所使用的帧拓展
做完framing和mel filter之後 (假設為300個frame, 40 mel)
以上2點並在最後攤平整合成一個[1, *]的輸入
請問是哪一個,謝謝
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