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Discriminative frequency filter banks learning with neural networks
Abstract Filter banks on spectrums play an important role in many audio applications. Traditionally, the filters are linearly distributed on perceptual frequency scale such as Mel scale. To make the output smoother, these filters are often placed so that they overlap with each other. However, fixed-...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
SpringerOpen
2019-01-01
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| Σειρά: | EURASIP Journal on Audio, Speech, and Music Processing |
| Θέματα: | |
| Διαθέσιμο Online: | http://link.springer.com/article/10.1186/s13636-018-0144-6 |
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