Seal call recognition based on general regression neural network using Mel-frequency cepstrum coefficient features
In this paper, general regression neural network (GRNN) with the input feature of Mel-frequency cepstrum coefficient (MFCC) is employed to automatically recognize the calls of leopard, ross, and weddell seals with widely overlapping living areas. As a feedforward network, GRNN has only one network p...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer Science and Business Media Deutschland GmbH
2023
|
| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |