Using a Neural Network Codec Approximation Loss to Improve Source Separation Performance in Limited Capacity Networks
A growing need for on-device machine learning has led to an increased interest in light-weight neural networks that lower model complexity while retaining performance. While a variety of general-purpose techniques exist in this context, very few approaches exploit domain-specific properties to furth...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
IEEE,
2021-12-10T21:32:15Z.
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| Subjects: | |
| Online Access: | Get fulltext |