Using a Neural Network Codec Approximation Loss to Improve Source Separation Performance in Limited Capacity Networks
© 2020 IEEE. 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 proper...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE,
2021-11-02T16:57:11Z.
|
| Subjects: | |
| Online Access: | Get fulltext |