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SpeechNAS: Towards Better Trade-off between Latency and Accuracy for Large-Scale Speaker Verification
[article]
2021
arXiv
pre-print
Preserved Fulltext
energy (MHE), SpeechNAS automatically discovers five network architectures, from SpeechNAS-1 to SpeechNAS-5, of various numbers of parameters and GFLOPs on the large-scale text-independent speaker recognition ...
Recently, x-vector has been a successful and popular approach for speaker verification, which employs a time delay neural network (TDNN) and statistics pooling to extract speaker characterizing embedding ...
We also employ an advanced large margin based loss to train the candidate architectures for the large scale speaker verification. ...
arXiv:2109.08839v1
fatcat:zli7ayzra5dz7o3yx5bn63nvxe