On the issue of calibration in DNN-based speaker recognition systems

This article is concerned with the issue of calibration in the context of Deep Neural Network (DNN) based approaches to speaker recognition. DNNs have provided a new standard in technology when used in place of the traditional universal background model (UBM) for feature alignment, or to augment tra...

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Guardado en:
Detalles Bibliográficos
Publicado: 2016
Materias:
Bottleneck features
Calibration
Deep neural network
Mismatch
Speaker recognition
Alignment
Speech communication
Speech processing
Computationally efficient
Deep neural networks
Discriminative power
Speaker recognition system
Universal background model
Speech recognition
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_2308457X_v08-12-September-2016_n_p1825_McLaren
http://hdl.handle.net/20.500.12110/paper_2308457X_v08-12-September-2016_n_p1825_McLaren
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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