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@@ -30,6 +30,14 @@ Maas, Roland; Hoffmeister, Björn
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  Yang, Chao-Han Huck
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  The ‘DipCo’ data corpus is a new data set that was publicly released by Amazon to help speech scientists address the difficult problem of separating speech signals in reverberant rooms with multiple speakers.
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  The corpus was created with the assistance of Amazon volunteers, who simulated the dinner-party scenario in the lab. We conducted multiple sessions, each involving four participants. At the beginning of each session, participants served themselves food from a buffet table. Most of the session took place at a dining table, and at fixed points in several sessions, we piped music into the room, to reproduce a noise source that will be common in real-world environments.
 
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  Yang, Chao-Han Huck
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+ ### Download
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+ ```
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+ bash download_dipco.sh
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+ ```
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  The ‘DipCo’ data corpus is a new data set that was publicly released by Amazon to help speech scientists address the difficult problem of separating speech signals in reverberant rooms with multiple speakers.
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  The corpus was created with the assistance of Amazon volunteers, who simulated the dinner-party scenario in the lab. We conducted multiple sessions, each involving four participants. At the beginning of each session, participants served themselves food from a buffet table. Most of the session took place at a dining table, and at fixed points in several sessions, we piped music into the room, to reproduce a noise source that will be common in real-world environments.