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GitHub / iPRoBe-lab / 1D-Triplet-CNN

PyTorch implementation of the 1D-Triplet-CNN neural network model described in Fusing MFCC and LPC Features using 1D Triplet CNN for Speaker Recognition in Severely Degraded Audio Signals by A. Chowdhury, and A. Ross.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iPRoBe-lab%2F1D-Triplet-CNN
PURL: pkg:github/iPRoBe-lab/1D-Triplet-CNN

Stars: 23
Forks: 7
Open issues: 1

License: mit
Language: Python
Size: 4.43 MB
Dependencies parsed at: Pending

Created at: over 5 years ago
Updated at: about 3 years ago
Pushed at: over 5 years ago
Last synced at: over 2 years ago

Topics: convolutional-neural-networks, deep-learning, speaker-embedding, speaker-recognition, speaker-verification

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