A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification.
Juan Manuel CoriaHervé BredinSahar GhannaySophie RossetPublished in: CoRR (2020)
Keyphrases
- end to end
- loss function
- metric learning
- speaker verification
- pairwise
- pairwise constraints
- distance metric
- distance metric learning
- noisy environments
- semi supervised
- learning tasks
- reproducing kernel hilbert space
- mahalanobis distance
- multi task
- kernel matrix
- support vector
- distance function
- feature space
- multi class
- markov random field
- audio visual
- similarity measure
- multilayer perceptron
- machine learning algorithms
- semi supervised learning
- dimensionality reduction