Dereverberation based on deep neural networks using acoustic intensity
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 유정민 | ko |
| dc.contributor.author | 최정우 | ko |
| dc.contributor.author | 조병호 | ko |
| dc.contributor.author | 전세운 | ko |
| dc.date.accessioned | 2019-12-13T08:31:19Z | - |
| dc.date.available | 2019-12-13T08:31:19Z | - |
| dc.date.created | 2019-12-02 | - |
| dc.date.issued | 2019-10-25 | - |
| dc.identifier.citation | 2019년도 추계 소음진동학술대회 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/269121 | - |
| dc.language | English | - |
| dc.publisher | 한국소음진동공학회 | - |
| dc.title | Dereverberation based on deep neural networks using acoustic intensity | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | 2019년도 추계 소음진동학술대회 | - |
| dc.identifier.conferencecountry | KO | - |
| dc.identifier.conferencelocation | 해비치호텔&리조트, 제주도 | - |
| dc.contributor.localauthor | 최정우 | - |
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